Updated on 2024/11/14

Information

 

写真a

 
KAWAKUBO MASATERU
 
Organization
Faculty of Medical Sciences Department of Health Sciences Assistant Professor
School of Medicine Department of Health Sciences（Concurrent）
Graduate School of Medical Sciences Department of Health Sciences（Concurrent）
Title
Assistant Professor
Contact information
メールアドレス
Tel
0926426728
External link

Research Areas

  • Life Science / Radiological sciences

  • Life Science / Medical systems

Degree

  • Ph.D.

Research History

  • Kyushu University Faculty of Medical Sciences Assistant Professor

    2017.4 - Present

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  • 帝京大学福岡医療技術学部診療放射線学科（助教：2015年4月〜2017年3月） 九州大学病院（診療放射線技師：2008年7月〜2015年3月） 山口大学医学部附属病院（診療放射線技師：2005年4月〜2008年6月）

Research Interests・Research Keywords

  • Research theme：Computed Tomography

    Keyword：Computed Tomography

    Research period： 2024

  • Research theme：MR imaing

    Keyword：MR imaing

    Research period： 2024

  • Research theme：Cardiovascular imaging

    Keyword：Cardiovascular imaging

    Research period： 2024

  • Research theme：Medical image analysis

    Keyword：Medical image analysis

    Research period： 2024

  • Research theme：Molecular Imaging

    Keyword：Molecular Imaging

    Research period： 2024

  • Research theme：Data Science

    Keyword：Data Science

    Research period： 2024

  • Research theme：Medical Image Analysis

    Keyword：Medical Image, Image Analysis, Myocardial Function, Blood Flow, Magnetic Resonance Imaging, Nuclear Cardiology, Deep Learning, Machine Learning

    Research period： 2011.4

Awards

  • Best Young Presenter Award Finalist

    2023.8   The Asian Society of Cardiovascular Imaging (ASCI 2023)  

  • Best Young Presenter Award Finalist

    2023.8   The Asian Society of Cardiovascular Imaging (ASCI 2023)  

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    DEEP LEARNING ATTENUATION CORRECTION FOR MYOCARDIAL PERFUSION SCINTIGRAPHY BASED ON SPECT-TO-PET IMAGE TRANSLATION.

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  • William Strauss Best Technical Paper Award

    2023.6   Journal of Nuclear Cardiology (American Society of Nuclear Cardiology)  

  • William Strauss Best Technical Paper Award

    2023.6   Journal of Nuclear Cardiology (American Society of Nuclear Cardiology)  

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    13N-ammonia positron emission tomography-derived endocardial strain for the assessment of ischemia using feature-tracking in high-resolution cine imaging.

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  • CyPos賞 銅賞

    2022.5   第78回日本放射線技術学会総会学術大会   胸部エックス線画像の深層学習による外科手術に伴う体内遺残物検出システムの開発

  • CyPos賞 銅賞

    2022.5   第78回日本放射線技術学会総会学術大会  

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    胸部エックス線画像の深層学習による外科手術に伴う体内遺残物検出システムの開発

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  • 優秀賞

    2022.3   第16回九州放射線医療技術学術大会   胸部エックス線画像のディープラーニングによる外科手術に伴う体内異物遺残検出システムの開発

  • 第10回学会賞技術部門

    2021.6   日本心臓核医学会   高解像13N-アンモニアPET画像のfeature-trackingによる右心室ストレインと心筋虚血との関連

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    【目的】
    13N-アンモニアPETシステムの向上はSPECTでは困難な右室壁運動の高解像な動画表示を可能にした。我々は右室壁運動を定量するストレイン値を半自動的かつ簡便に算出するfeature-tracking手法を独自に開発し、ストレイン値と心筋虚血重症度との関連を検討した。
    【方法】
    冠動脈疾患患者93名の13N-アンモニアPETの安静時および負荷時のシネ4腔像から、右室長軸ストレイン（RV-LS）を後ろ向きに算出した。Summed stress score (SSS)で、SSS>12の重症虚血群、4≤SSS<12の中等度群、4<SSSの正常群に患者を分け、RV-LSを一元配置分散分析により比較した。
    【結果】
    重症群（13名）および中等度群（29名）における負荷時のRV-LSは、それぞれ正常群（51名）よりも有意に低かった（-27.1±6.5% vs. -26.1±5.5% vs. -32.0±6.1%）。正常群では安静時に比して負荷時のRV-LSが増加した（-27.1±5.3% vs. -32.0±6.1%）。
    【結論】
    13N-アンモニアPETストレイン解析は心筋虚血に伴う右室壁運動の低下を定量できる技術であることを示した。

  • 2017年度ISMRM Travel Award

    2018.3   日本磁気共鳴医学会   Vortex Flow in Left Ventricle Interrupts Efficient Ejection: Demonstration by Vortex Flow Map of Cardiac Cine Magnetic Resonance Imaging

  • 最優秀賞

    2016.3   第34回せとうち心臓CT・MR勉強会   Feature Tracking Cine MRIによる修正大血管転位の心室ストレイン解析

  • 座長推薦優秀研究

    2015.4   日本放射線技術学会   睡眠時無呼吸症候群の重症度評価における気道のシネMRIの有用性

  • 座長推薦優秀研究

    2012.4   日本放射線技術学会   四腔断像シネMRIを用いた心臓の機械的同期不全の評価

  • Cum Laude

    2012.3   European Society of Radiology   Evaluation of cardiac mechanical dyssynchrony using 4-chamber cine magnetic resonance imaging: Assessment of chronic heart failure

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Papers

  • Risk Stratification Using Right Ventricular Longitudinal Strain Ratio Derived from 13N-Ammonia PET in Patients with Ischemic Heart Disease. International journal

    Atsushi Yamamoto, Michinobu Nagao, Masateru Kawakubo, Risako Nakao, Yuka Matsuo, Akiko Sakai, Koichiro Kaneko, Kenji Fukushima, Mitsuru Momose, Shuji Sakai, Junichi Yamaguchi

    Radiology. Cardiothoracic imaging   6 ( 3 )   e230298   2024.6   （ ISSN:2638-6135 ）

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    Language：English   Publishing type：Research paper (scientific journal)  

    Purpose To investigate whether right ventricular (RV) myocardial strain ratio (RVMSR) assessed using nitrogen 13 ammonia (13N-NH3) PET can predict cardiovascular events in patients with ischemic heart disease (IHD). Materials and Methods This retrospective study included 480 consecutive patients (mean age, 66 years ± 12 [SD]; 334 males and 146 females) with IHD who underwent 13N-NH3 PET. RVMSR was defined as the ratio of RV strain during stress to that at rest. The primary end point was major adverse cardiac events (MACEs), defined as cardiac death or heart failure hospitalization. The ability of RVMSR to predict MACE was assessed using receiver operating characteristic (ROC) curve and Kaplan-Meier analyses. Cox proportional hazards regression analysis was used to calculate hazard ratios (HRs) with 95% CIs. Results ROC curve analysis identified a sensitivity and specificity of 84% and 82%, respectively, for predicting MACE from RVMSR. Patients with reduced RVMSR (<110.2) displayed a significantly higher rate of MACE than those with a preserved RVMSR (34 of 240 vs four of 240; P < .001). Cox proportional hazards regression analysis of imaging parameters, including myocardial flow reserve, indicated that RVMSR was an independent predictor of MACE (HR, 0.94 [95% CI: 0.92, 0.97]; P < .001). Conclusion RVMSR was an independent predictor of MACE and has potential to aid in the risk stratification of patients with IHD. Keywords: Right Ventricular Myocardial Strain Ratio, Myocardial Flow Reserve, Ischemic Heart Disease, 13N-Ammonia Positron Emission Tomography Supplemental material is available for this article. © RSNA, 2024.

    DOI： 10.1148/ryct.230298

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  • Deep learning approach using SPECT-to-PET translation for attenuation correction in CT-less myocardial perfusion SPECT imaging. Reviewed International journal

    Kawakubo M, Nagao M*, Kaimoto Y, Nakao R, Yamamoto A, Kawasaki H, Iwaguchi T, Matsuo Y, Kaneko K, Sakai A, Sakai S. *Corresponding author.

    Annals of Nuclear Medicine   38 ( 3 )   199 - 209   2024.3   （ ISSN:0914-7187 eISSN:1864-6433 ）

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  • Gated SPECT-Derived Myocardial Strain Estimated From Deep-Learning Image Translation Validated From N-13 Ammonia PET

    Kawakubo M., Nagao M., Yamamoto A., Kaimoto Y., Nakao R., Kawasaki H., Iwaguchi T., Inoue A., Kaneko K., Sakai A., Sakai S.

    Academic Radiology   2024   （ ISSN:10766332 ）

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    Language：English   Publisher：Academic Radiology  

    Rationale and Objectives: This study investigated the use of deep learning-generated virtual positron emission tomography (PET)-like gated single-photon emission tomography (SPECTVP) for assessing myocardial strain, overcoming limitations of conventional SPECT. Materials and Methods: SPECT-to-PET translation models for short-axis, horizontal, and vertical long-axis planes were trained using image pairs from the same patients in stress (720 image pairs from 18 patients) and resting states (920 image pairs from 23 patients). Patients without ejection-fraction changes during SPECT and PET were selected for training. We independently analyzed circumferential strains from short-axis-gated SPECT, PET, and model-generated SPECTVP images using a feature-tracking algorithm. Longitudinal strains were similarly measured from horizontal and vertical long-axis images. Intraclass correlation coefficients (ICCs) were calculated with two-way random single-measure SPECT and SPECTVP (PET). ICCs (95% confidence intervals) were defined as excellent (≥ 0.75), good (0.60–0.74), moderate (0.40–0.59), or poor (≤ 0.39). Results: Moderate ICCs were observed for SPECT-derived stressed circumferential strains (0.56 [0.41–0.69]). Excellent ICCs were observed for SPECTVP-derived stressed circumferential strains (0.78 [0.68–0.85]). Excellent ICCs of stressed longitudinal strains from horizontal and vertical long axes, derived from SPECT and SPECTVP, were observed (0.83 [0.73–0.90], 0.91 [0.85–0.94]). Conclusion: Deep-learning SPECT-to-PET transformation improves circumferential strain measurement accuracy using standard-gated SPECT. Furthermore, the possibility of applying longitudinal strain measurements via both PET and SPECTVP was demonstrated. This study provides preliminary evidence that SPECTVP obtained from standard-gated SPECT with postprocessing potentially adds clinical value through PET-equivalent myocardial strain analysis without increasing the patient burden.

    DOI： 10.1016/j.acra.2024.06.047

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  • Prediction of cardiovascular events using myocardial strain ratio derived from N-13-ammonia positron emission tomography Reviewed International journal

    Yamamoto A, Nagao M, Kawakubo M, Ando K, Nakao R, Matsuo Y, Sakai A, Kaneko K, Momose M, Sakai S, Yamaguchi J.

    Eur Radiol.   33 ( 6 )   3889 - 3896   2022.12   （ ISSN:0938-7994 eISSN:1432-1084 ）

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    DOI： 10.1007/s00330-022-09359-1

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  • A deep learning model based on fusion images of chest radiography and X-ray sponge images supports human visual characteristics of retained surgical items detection. Reviewed International journal

    Kawakubo M*,**, Waki H**, Shirasaka T, Kojima T, Mikayama R, Hamasaki H, Akamine H, Kato T, Baba S, Ushiro S, Ishigami K. *Corresponding author, **Equal contribution.

    Int J Comput Assist Radiol Surg.   18 ( 8 )   1459 - 1467   2022.12   （ ISSN:1861-6410 eISSN:1861-6429 ）

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    Language：English   Publishing type：Research paper (scientific journal)  

    PURPOSE: Although a novel deep learning software was proposed using post-processed images obtained by the fusion between X-ray images of normal post-operative radiography and surgical sponge, the association of the retained surgical item detectability with human visual evaluation has not been sufficiently examined. In this study, we investigated the association of retained surgical item detectability between deep learning and human subjective evaluation. METHODS: A deep learning model was constructed from 2987 training images and 1298 validation images, which were obtained from post-processing of the image fusion between X-ray images of normal post-operative radiography and surgical sponge. Then, another 800 images were used, i.e., 400 with and 400 without surgical sponge. The detection characteristics of retained sponges between the model and a general observer with 10-year clinical experience were analyzed using the receiver operator characteristics. RESULTS: The following values from the deep learning model and observer were, respectively, derived: Cutoff values of probability were 0.37 and 0.45; areas under the curves were 0.87 and 0.76; sensitivity values were 85% and 61%; and specificity values were 73% and 92%. CONCLUSION: For the detection of surgical sponges, we concluded that the deep learning model has higher sensitivity, while the human observer has higher specificity. These characteristics indicate that the deep learning system that is complementary to humans could support the clinical workflow in operation rooms for prevention of retained surgical items.

    DOI： 10.1007/s11548-022-02816-8

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    Repository Public URL： https://hdl.handle.net/2324/6766131

  • 13N-ammonia PET-derived right ventricular longitudinal strain and myocardial flow reserve in right coronary artery disease Reviewed International journal

    Kawakubo M, Nagao M, Yamamoto A, Nakao R, Matsuo Y, Kaneko K, Watanabe E, Sakai A, Sasaki M, Sakai S

    Eur J Nucl Med Mol Imaging.   49 ( 6 )   1870 - 1880   2021.12   （ ISSN:1619-7070 eISSN:1619-7089 ）

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1007/s00259-021-05647-y

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    Repository Public URL： http://hdl.handle.net/2324/4743328

  • Unchanged right ventricular strain in repaired tetralogy of Fallot after pulmonary valve replacement with radial long-axis cine magnetic resonance images Reviewed International journal

    Kawakubo M*, Yamasaki Y, Toyomura D, Yamamura K, Sakamoto I, Moriyama T, Yabuuchi H, Ishigami K, *Corresponding author

    Scientific Reports   11 ( 1 )   2021.9

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1038/s41598-021-98464-0

    Repository Public URL： http://hdl.handle.net/2324/4706205

  • Balloon pulmonary angioplasty improves right atrial reservoir and conduit functions in chronic thromboembolic pulmonary hypertension. Reviewed International journal

    Yamasaki Y, Abe K, Kamitani T, Hosokawa K, Kawakubo M, Sagiyama K, Hida T, Matsuura Y, Murayama Y, Funatsu R, Tsutsui H, Yabuuchi H.

    European Heart Journal Cardiovascular Imaging   2020.5

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    DOI： 10.1093/ehjci/jeaa064

  • Feature-Tracking MRI Fractal Analysis of Right Ventricular Remodeling in Adults with Congenitally Corrected Transposition of the Great Arteries Reviewed International journal

    M Kawakubo, M Nagao, U Ishizaki, Y Shina, K Inai, Y Yamasaki, M Yoneyama, S Sakai.

    Radiology: Cardiothoracic Imaging   1 ( 4 )   2019.10

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1148/ryct.2019190026

    Repository Public URL： http://hdl.handle.net/2324/4479730

  • Clinical usefulness of right ventricular 3D area strain in the assessment of treatment effects of balloon pulmonary angioplasty in chronic thromboembolic pulmonary hypertension: comparison with 2D feature-tracking MRI Reviewed International journal

    Kawakubo M*, Yamasaki Y, Kamitani T, Sagiyama K, Matsuura Y, Hino T, Abe K, Hosokawa K, Yabuuchi H, and Honda H. *Corresponding author

    European Radiology   29 ( 9 )   4583 - 4592   2019.9

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： https://doi.org/10.1007/s00330-019-6008-3

    Repository Public URL： http://hdl.handle.net/2324/4479727

  • Evaluation of cardiac dyssynchrony with longitudinal strain analysis in 4-chamber cine MR imaging. Reviewed International journal

    Kawakubo M*, Nagao M, Kumazawa S, Chishaki AS, Mukai Y, Nakamura Y, Honda H, Morishita J. *Corresponding author

    European Journal of Radiology   82 ( 12 )   2212 - 2216   2013.12

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  • Diagnostic accuracy and added value of dynamic chest radiography in detecting pulmonary embolism: A retrospective study

    Yamasaki Y., Hosokawa K., Kamitani T., Abe K., Sagiyama K., Hino T., Ikeda M., Nishimura S., Toyoda H., Moriyama S., Kawakubo M., Matsutani N., Yabuuchi H., Ishigami K.

    European Journal of Radiology Open   13   100602   2024.12   （ ISSN:2352-0477 ）

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    Language：English   Publisher：European Journal of Radiology Open  

    Purpose: This study aimed to assess the diagnostic performance of dynamic chest radiography (DCR) and investigate its added value to chest radiography (CR) in detecting pulmonary embolism (PE). Methods: Of 775 patients who underwent CR and DCR in our hospital between June 2020 and August 2022, individuals who also underwent contrast-enhanced CT (CECT) of the chest within 72 h were included in this study. PE or non-PE diagnosis was confirmed by CECT and the subsequent clinical course. The enrolled patients were randomized into two groups. Six observers, including two thoracic radiologists, two cardiologists, and two radiology residents, interpreted each chest radiograph with and without DCR using a crossover design with a washout period. Diagnostic performance was compared between CR with and without DCR in the standing and supine positions. Results: Sixty patients (15 PE, 45 non-PE) were retrospectively enrolled. The addition of DCR to CR significantly improved the sensitivity, specificity, accuracy, and area under the curve (AUC) in the standing (35.6–70.0 % [P < 0.0001], 84.8–93.3 % [P = 0.0010], 72.5–87.5 % [P < 0.0001], and 0.66–0.85 [P < 0.0001], respectively) and supine (33.3–65.6 % [P < 0.0001], 78.5–92.2 % [P < 0.0001], 67.2–85.6 % [P < 0.0001], and 0.62–0.80 [P = 0.0002], respectively) positions for PE detection. No significant differences were found between the AUC values of DCR with CR in the standing and supine positions (P = 0.11) or among radiologists, cardiologists, and radiology residents (P = 0.14–0.68). Conclusions: Incorporating DCR with CR demonstrated moderate sensitivity, high specificity, and high accuracy in detecting PE, all of which were significantly higher than those achieved with CR alone, regardless of scan position, observer expertise, or experience.

    DOI： 10.1016/j.ejro.2024.100602

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    Repository Public URL： https://hdl.handle.net/2324/7323438

  • Relevance of increased negative T waves in apical hypertrophic cardiomyopathy with progressive myocardial damage: Insights from repeat cardiac magnetic resonance studies

    Arai H., Ando S.i., Kawakubo M., Sanui K., Nishimura H., Kadokami T.

    Radiology Case Reports   19 ( 11 )   4708 - 4712   2024.11   （ ISSN:1930-0433 ）

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    In patients with apical hypertrophic cardiomyopathy (HCM), progressive electrocardiographic changes are observed during long-term follow-up. However, it is difficult to correspond these changes to the specific myocardial changes. Cardiac magnetic resonance (CMR) imaging can elucidate myocardial changes by late gadolinium enhancement. Here, we present the long-term follow-up (>18 years) on a patient with apical HCM, whereupon, precise and continuous changes in the myocardium, causing ST segment and T wave changes on electrocardiography, were observed on CMR images. The combination of electrocardiography and CMR facilitates management of patients with apical HCM because it helps explain and understand the nature of electrocardiography changes over time.

    DOI： 10.1016/j.radcr.2024.07.061

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    Repository Public URL： https://hdl.handle.net/2324/7323439

  • Dynamic chest radiography for pulmonary vascular diseases: clinical applications and correlation with other imaging modalities

    Yamasaki Y, Kamitani T, Sagiyama K, Hino T, Kisanuki M, Tabata K, Isoda T, Kitamura Y, Abe K, Hosokawa K, Toyomura D, Moriyama S, Kawakubo M, Yabuuchi H, Ishigami K.

    42 ( 2 )   126 - 144   2024.2   （ ISSN:1867-1071 eISSN:1867-108X ）

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    Dynamic chest radiography (DCR) is a novel functional radiographic imaging technique that can be used to visualize pulmonary perfusion without using contrast media. Although it has many advantages and clinical utility, most radiologists are unfamiliar with this technique because of its novelty. This review aims to (1) explain the basic principles of lung perfusion assessment using DCR, (2) discuss the advantages of DCR over other imaging modalities, and (3) review multiple specific clinical applications of DCR for pulmonary vascular diseases and compare them with other imaging modalities.

    DOI： 10.1007/s11604-023-01483-2

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  • Differentiation between mild and severe myocarditis using multiparametric cardiac magnetic resonance

    Arai Hideo, Kawakubo Masateru, Sanui Kenichi, Nishimura Hiroshi, Kadokami Toshiaki

    Radiology Case Reports   18 ( 10 )   3710 - 3715   2023.10   （ eISSN:19300433 ）

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    The pathophysiology of myocarditis is associated with mild inflammation and may progress silently, or in severe cases such as fulminant myocarditis, may lead to sudden hemodynamic compromise. An invasive myocardial biopsy is generally required for a definitive myocarditis diagnosis. Alternatively, cardiac magnetic resonance (CMR), which evaluates myocardial characteristics and cardiac function, can be used as a noninvasive tool for diagnosing myocarditis. We describe the cases of a 49-year-old woman with mild acute eosinophilic myocarditis and a 48-year-old man with severe acute lymphocytic myocarditis. CMR was performed during the acute and convalescent phases in both cases. Compared with mild myocarditis, CMR in severe myocarditis showed higher T2 values and decreased left ventricular and atrial volumes and strains; however, the right ventricular strain was preserved. Late gadolinium enhancement showed faint contrast enhancement in the whole and strong enhancement in the local myocardium. Follow-up CMR showed recovery from myocardial inflammation and cardiac function. Some late gadolinium enhancement persisted whereas acute inflammation-associated enhancement disappeared. This case report highlights the differences between the cardiac parameters of patients with mild and severe myocarditis. Severe myocardial inflammation can be caused by severe heart failure owing to the concurrent reduction of cardiac function and compliance. Additionally, preserved right ventricular strain may predict cardiac function recovery in acute myocarditis. Noninvasive and repeatable CMR provides information on myocardial characteristics, cardiac function, and hemodynamics in a single scan at that time, which is useful not only for diagnosis but also for severity assessment and patient management in acute myocarditis.

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  • Myocardial Strain Derived from ＾<13>N-ammonia Positron Emission Tomography: Detection of Ischemia-Related Wall Motion Abnormality

    Nagao Michinobu, Kawakubo Masateru, Yamamoto Atsushi, Nakao Risako, Matsuo Yuka, Fukushima Kenji, Sakai Akiko, Momose Mitsuru, Sakai Shuji

    Annals of Nuclear Cardiology   9 ( 1 )   2023.10   （ ISSN:21893926 eISSN:24241741 ）

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    Background: Due to the limitation of spatial resolution, cardiac nuclear medicine images have not been applied to feature-tracking method to automatic extraction of myocardial contours. We have successfully applied the feature-tracking method to high-resolution cine ＾<13>N-ammonia positron emission tomography (PET) images to calculate the regional myocardial strains. Here, we investigate the potential of ＾<13>N-ammonia PET-derived strain to detect ischemia-related wall motion abnormality. / Methods: Data of adenosine-stress/rest ＾<13>N-ammonia PET for 95 coronary artery disease patients was retrospectively analyzed. Using an original algorithm dedicated to ＾<13>N-ammonia PET, the longitudinal strain (LS) corresponding to the three main coronary artery territories (RCA, LAD, and LCX) was calculated from semi-automatic endocardial contours extraction on cine ＾<13>N-ammonia PET images of the left ventricular long-axis. The presence of ischemia in three main territories was determined from rest and stress-perfusion images. / Results: In all three coronary territories, LS at stress was significantly smaller at rest in the ischemic region RCA: -19.2±8.0% vs. -22.7±6.1%, LAD: -19.0±6.9% vs. -24.4±6.4%, LCX: -20.5%±7.6% vs. -22.6±6.9%). In contrast, in the non-ischemic region, there was no significant difference between the LS at stress and at rest. Receiver-operating-characteristic analysis revealed that using the optimal cutoff of the LS ratio of stress to rest, ischemia could be diagnosed with area under the curve of 0.82 in the RCA, 0.86 in the LAD, and 0.69 in the LCX. / Conclusions: Myocardial strain derived from endocardial feature-tracking of ＾<13>N-ammonia PET cine imaging is reduced in the ischemia induced by adenosine-stress. The LS ratio of stress to rest may detect wall motion abnormality related to ischemia.

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  • The Utility of Right Ventricular Myocardial Strain Ratio Estimated by Ammonia Positron Emission Tomography to Stratify the Risk for Coronary Artery Disease

    Yamamoto, A; Nagao, M; Kawakubo, M; Nakao, R; Matsuo, Y; Sakai, A; Momose, M; Kaneko, K; Fukushima, K; Yamaguchi, J; Sakai, S

    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING   50 ( SUPPL 1 )   S619 - S619   2023.9   （ ISSN:1619-7070 eISSN:1619-7089 ）

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  • Novel analysis for endocardial wall strain with N-13 ammonia PET feature tracking -Comparison with CMR-feature tracking using integrated PETMR system

    Fukushima, K; Katahira, M; Endo, K; Yamakuni, R; Kawakubo, M; Kiko, T; Kikori, K; Ukon, N; Nagao, M; Ishii, S; Ito, H; Takeishi, Y

    JOURNAL OF NUCLEAR MEDICINE   64   2023.6   （ ISSN:0161-5505 eISSN:1535-5667 ）

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  • 高解像13N-アンモニアPET画像の feature-trackingによる右心室ストレインと心筋虚血との関連 Reviewed

    河窪 正照、長尾 充展、山本 篤志、中尾 梨沙子、松尾 有香、金子 恒一郎、渡邊 絵里、坂井 晶子、佐々木 雅之、坂井 修二. *責任著者

    心臓核医学   23 ( 1 )   13 - 17   2023.3

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    DOI： https://doi.org/10.14951/jsnc.25-001

    Repository Public URL： https://hdl.handle.net/2324/6781058

  • Effect of iodine concentration and body size on iodine subtraction in virtual non-contrast imaging: A phantom study Reviewed International journal

    Shirasaka T, Kojima T, Yamane S, Mikayama R, Kawakubo M, Funatsu R, Kato T, Ishigami K, Funama Y.

    Radiography (Lond).   29 ( 3 )   557 - 563   2023.3   （ ISSN:1078-8174 eISSN:1532-2831 ）

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1016/j.radi.2023.03.003

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  • マルチモダリティを用いた右室機能評価Update(Right Ventricular Myocardial Strain Derived from Cardiac Magnetic Resonance Imaging and Positron Emission Tomography)

    河窪 正照, 山崎 誘三, 長尾 充展, 阿部 弘太郎, 細川 和也, 永田 弾, 山村 健一郎, 豊村 大亮, 山本 篤志, 新井 英雄, 門上 俊明

    日本循環器学会学術集会抄録集   87回   SY22 - 3   2023.3

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  • Editorial for "First-Pass Myocardial Perfusion With Increased Anatomic Coverage at 3T Using Autocalibrated Multiband Imaging"

    Arai, H; Kawakubo, M; Kadokami, T

    JOURNAL OF MAGNETIC RESONANCE IMAGING   57 ( 1 )   189 - 190   2023.1   （ ISSN:1053-1807 eISSN:1522-2586 ）

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    DOI： 10.1002/jmri.28213

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  • High-echoic line tracing of transthoracic echocardiography accurately assesses right ventricular enlargement in adult patients with atrial septal defect Reviewed International journal

    Sato T, Sakamoto I, Hiasa K, Kawakubo M, Ishikita A, Umemoto S, Kang JM, Sawatari H, Chishaki A, Shigeto H, Tsutui H.

    The International Journal of Cardiovascular Imaging   39 ( 1 )   87 - 95   2023.1   （ ISSN:1569-5794 eISSN:1875-8312 ）

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    Accurate measurement of right ventricular (RV) size using transthoracic echocardiography (TTE) is important for evaluating the severity of congenital heart diseases. The RV end-diastolic area index (RVEDAi) determined using TTE is used to assess RV dilatation; however, the tracing line of the RVEDAi has not been clearly defined by the guidelines. This study aimed to determine the exact tracing method for RVEDAi using TTE. We retrospectively studied 107 patients with atrial septal defects who underwent cardiac magnetic resonance imaging (CMR) and TTE. We measured the RVEDAi according to isoechoic and high-echoic lines, and compared it with the RVEDAi measured using CMR. The isoechoic line was defined as the isoechoic endocardial border of the RV free wall, whereas the high-echoic line was defined as the high-echoic endocardial border of the RV free wall more outside than the isoechoic line. RVEDAi measured using high-echoic line (high-RVEDAi) was more accurately related to RVEDAi measured using CMR than that measured using isoechoic line (iso-RVEDAi). The difference in the high-RVEDAi was 0.3 cm(2)/m(2), and the limit of agreement (LOA) was - 3.7 to 4.3 cm(2)/m(2). With regard to inter-observer variability, high-RVEDAi was superior to iso-RVEDAi. High-RVEDAi had greater agreement with CMR-RVEDAi than with iso-RVEDAi. High-RVEDAi can become the standard measurement of RV size using two-dimensional TTE.

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  • Right Ventricular Strain Derived from <sup>13</sup>N-ammonia PET and Myocardial Ischemia Reviewed

    Kawakubo Masateru, Nagao Michinobu, Yamamoto Atsushi, Nakao Risako, Matsuo Yuka, Kaneko Koichiro, Watanabe Eri, Sakai Akiko, Sasaki Masayuki, Sakai Shuji

    SHINZO KAKU IGAKU   25 ( 1 )   13 - 17   2023   （ ISSN:13462733 eISSN:24241733 ）

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    <b><i>Objective</i></b>: It is important to assess myocardial motion for not only left ventricle but also right ventricle. We developed a feature-tracking (FT) algorithm for use with electrocardiography-gated high-resolution <sup>13</sup>N-ammonia positron emission tomography (PET) imaging. Previously, we reported that the left ventricular strain value derived from PET-FT analysis can detect a decrease of ischemic myocardium motion. Further, the PET-derived left ventricular longitudinal strain (LS) value was validated referred to cardiac magnetic resonance. In the present research, we applied right ventricular (RV) strain analysis based on the FT algorithm to high-resolution <sup>13</sup>N-ammonia PET images, and investigated the association between myocardial ischemia and RV myocardial motion.<br><b><i>Methods</i></b>: Ninety-three patients with coronary artery stenosis >50%, diagnosed by coronary computed tomography angiography, and 10 controls were retrospectively analyzed. RV-LS in the free wall was measured by a FT technique on the resting and stressed <sup>13</sup>N-ammonia PET images of horizontal long-axis slices. The patients were sub-grouped according to summed stress score (SSS) values: SSS>12 as severe ischemia [n=13], 4≤SSS≤12 as moderate ischemia [n=29], and SSS<4 as normal [n=51]. Stress and resting RV-LS were compared in each of the four groups. Multiple comparisons of RV-LS among the four groups were performed in the stress and resting state.<br><b><i>Results</i></b>: Decreased absolute RV-LS values at stress in the groups of severe and moderate ischemia were observed with respect to those in the groups of normal and control. Increased absolute RV-LS values at stress state in patients with normal and control were observed with respect to those at resting state.<br><b><i>Conclusion</i></b>: We measured RV myocardial LS using FT in high-resolution cine imaging of <sup>13</sup>N-ammonia PET. The results of this study suggest that PET-derived RV-LS is useful for detecting reduced RV myocardial motion due to ischemia in the patients with coronary artery disease.

    DOI： 10.14951/jsnc.25-001

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  • Right ventricular strain and volume analyses through deep learning‐based fully automatic segmentation based on radial long‐axis reconstruction of short‐axis cine magnetic resonance images Reviewed International journal

    Kawakubo M*, **, Moriyama D**, Yamasaki Y, Abe K, Hosokawa K, Moriyama T, Triadyaksa P, Wibowo A, Nagao M, Arai H, Nishimura H, Kadokami T. *Corresponding author, **Equal contribution.

    Magnetic Resonance Materials in Physics, Biology and Medicine   35 ( 6 )   911 - 921   2022.12   （ ISSN:1352-8661 ）

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    Objective We propose a deep learning-based fully automatic right ventricle (RV) segmentation technique that targets radially reconstructed long-axis (RLA) images of the center of the RV region in routine short axis (SA) cardiovascular magnetic resonance (CMR) images. Accordingly, the purpose of this study is to compare the accuracy of deep learning-based fully automatic segmentation of RLA images with the accuracy of conventional deep learning-based segmentation in SA orientation in terms of the measurements of RV strain parameters.
    Materials and methods We compared the accuracies of the above-mentioned methods in RV segmentations and in measuring RV strain parameters by Dice similarity coefficients (DSCs) and correlation coefficients.
    Results DSC of RV segmentation of the RLA method exhibited a higher value than those of the conventional SA methods (0.84 vs. 0.61). Correlation coefficient with respect to manual RV strain measurements in the fully automatic RLA were superior to those in SA measurements (0.5–0.7 vs. 0.1–0.2).
    Discussion Our proposed RLA realizes accurate fully automatic extraction of the entire RV region from an available CMR cine image without any additional imaging. Our findings overcome the complexity of image analysis in CMR without the limitations of the RV visualization in echocardiography.

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  • Myocardial Strain Derived from 13N-ammonia Positron Emission Tomography: Detection of Ischemia-Related Wall Motion Abnormality Reviewed International journal

    Michinobu Nagao, Masateru Kawakubo, Risako Nakao, Eri Watanabe, Masami Yoneyama, Nobuhisa Hagiwara, and Shuji Sakai.

    Annals of Nuclear Cardiology   2022.11

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    DOI： doi.org/10.17996/anc.22-00161

    Other Link： https://www.jstage.jst.go.jp/article/anc/advpub/0/advpub_22-00161/_article/-char/en

    Repository Public URL： http://hdl.handle.net/2324/5208866

  • The prognostic value of right ventricular strain derived from ammonia PET for major adverse cardiac events

    Yamamoto, A; Nagao, M; Kawakubo, M; Ando, K; Nakao, R; Matsuo, Y; Sakai, A; Momose, M; Kaneko, K; Fukushima, K; Sakai, S

    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING   49 ( SUPPL 1 )   S333 - S333   2022.9   （ ISSN:1619-7070 eISSN:1619-7089 ）

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  • High-echoic line tracing of transthoracic echocardiography accurately assesses right ventricular enlargement in adult patients with atrial septal defect Reviewed International journal

    Sato T, Sakamoto I, Hiasa K, Kawakubo M, Ishikita A, Umemoto S, Kang JM, Sawatari H, Chishaki A, Shigeto H, Tsutui H.

    The International Journal of Cardiovascular Imaging   2022.8

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    DOI： doi.org/10.1007/s10554-022-02712-x

  • Cardiac Disease Classification Using Two-Dimensional Thickness and Few-Shot Learning Based on Magnetic Resonance Imaging Image Segmentation

    Wibowo Adi, Triadyaksa Pandji, Sugiharto Aris, Sarwoko Eko Adi, Nugroho Fajar Agung, Arai Hideo, Kawakubo Masateru

    Journal of Imaging   8 ( 7 )   194   2022.7   （ eISSN:2313433X ）

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    Cardiac cine magnetic resonance imaging (MRI) is a widely used technique for the noninvasive assessment of cardiac functions. Deep neural networks have achieved considerable progress in overcoming various challenges in cine MRI analysis. However, deep learning models cannot be used for classification because limited cine MRI data are available. To overcome this problem, features from cine image settings are derived by handcrafting and addition of other clinical features to the classical machine learning approach for ensuring the model fits the MRI device settings and image parameters required in the analysis. In this study, a novel method was proposed for classifying heart disease (cardiomyopathy patient groups) using only segmented output maps. In the encoder–decoder network, the fully convolutional EfficientNetB5-UNet was modified to perform the semantic segmentation of the MRI image slice. A two-dimensional thickness algorithm was used to combine the segmentation outputs for the 2D representation of images of the end-diastole (ED) and end-systole (ES) cardiac volumes. The thickness images were subsequently used for classification by using a few-shot model with an adaptive subspace classifier. Model performance was verified by applying the model to the 2017MICCAIMedical Image Computing and Computer-Assisted Intervention dataset. High segmentation performance was achieved as follows: the average Dice coefficients of segmentation were 96.24% (ED) and 89.92% (ES) for the left ventricle (LV); the values for the right ventricle (RV) were 92.90% (ED) and 86.92% (ES). The values for myocardium were 88.90% (ED) and 90.48% (ES). An accuracy score of 92% was achieved in the classification of various cardiomyopathy groups without clinical features. A novel rapid analysis approach was proposed for heart disease diagnosis, especially for cardiomyopathy conditions using cine MRI based on segmented output maps.

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  • Cardiac Disease Classification Using Two-Dimensional Thickness and Few-Shot Learning Based on Magnetic Resonance Imaging Image Segmentation Reviewed International journal

    Wibowo A, Triadyaksa P, Sugiharto A, Sarwoko A E, Nugroho A F, Arai H, Kawakubo M.

    Journal of Imaging   8 ( 7 )   194   2022.7

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    DOI： doi.org/10.3390/jimaging8070194

    Repository Public URL： http://hdl.handle.net/2324/4797990

  • Cardiac Disease Classification Using Two-Dimensional Thickness and Few-Shot Learning Based on Magnetic Resonance Imaging Image Segmentation

    Adi Wibowo, Pandji Triadyaksa, Aris Sugiharto, Eko Adi Sarwoko, Fajar Agung Nugroho, Hideo Arai, Masateru Kawakubo

    Journal of Imaging   8 ( 7 )   194 - 194   2022.7   （ eISSN:2313-433X ）

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

    Cardiac cine magnetic resonance imaging (MRI) is a widely used technique for the noninvasive assessment of cardiac functions. Deep neural networks have achieved considerable progress in overcoming various challenges in cine MRI analysis. However, deep learning models cannot be used for classification because limited cine MRI data are available. To overcome this problem, features from cine image settings are derived by handcrafting and addition of other clinical features to the classical machine learning approach for ensuring the model fits the MRI device settings and image parameters required in the analysis. In this study, a novel method was proposed for classifying heart disease (cardiomyopathy patient groups) using only segmented output maps. In the encoder–decoder network, the fully convolutional EfficientNetB5-UNet was modified to perform the semantic segmentation of the MRI image slice. A two-dimensional thickness algorithm was used to combine the segmentation outputs for the 2D representation of images of the end-diastole (ED) and end-systole (ES) cardiac volumes. The thickness images were subsequently used for classification by using a few-shot model with an adaptive subspace classifier. Model performance was verified by applying the model to the 2017 MICCAI Medical Image Computing and Computer-Assisted Intervention dataset. High segmentation performance was achieved as follows: the average Dice coefficients of segmentation were 96.24% (ED) and 89.92% (ES) for the left ventricle (LV); the values for the right ventricle (RV) were 92.90% (ED) and 86.92% (ES). The values for myocardium were 88.90% (ED) and 90.48% (ES). An accuracy score of 92% was achieved in the classification of various cardiomyopathy groups without clinical features. A novel rapid analysis approach was proposed for heart disease diagnosis, especially for cardiomyopathy conditions using cine MRI based on segmented output maps.

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  • Right ventricular strain and volume analyses through deep learning‐based fully automatic segmentation based on radial long‐axis reconstruction of short‐axis cine magnetic resonance images Reviewed International journal

    2022.5

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    Objective We propose a deep learning-based fully automatic right ventricle (RV) segmentation technique that targets radially reconstructed long-axis (RLA) images of the center of the RV region in routine short axis (SA) cardiovascular magnetic resonance (CMR) images. Accordingly, the purpose of this study is to compare the accuracy of deep learning-based fully automatic segmentation of RLA images with the accuracy of conventional deep learning-based segmentation in SA orientation in terms of the measurements of RV strain parameters.
    Materials and methods We compared the accuracies of the above-mentioned methods in RV segmentations and in measuring RV strain parameters by Dice similarity coefficients (DSCs) and correlation coefficients.
    Results DSC of RV segmentation of the RLA method exhibited a higher value than those of the conventional SA methods (0.84 vs. 0.61). Correlation coefficient with respect to manual RV strain measurements in the fully automatic RLA were superior to those in SA measurements (0.5–0.7 vs. 0.1–0.2).
    Discussion Our proposed RLA realizes accurate fully automatic extraction of the entire RV region from an available CMR cine image without any additional imaging. Our findings overcome the complexity of image analysis in CMR without the limitations of the RV visualization in echocardiography.

    DOI： doi.org/10.1007/s10334-022-01017-3

    Repository Public URL： http://hdl.handle.net/2324/4797991

  • Editorial for: "Right/Left Ventricular Blood Pool T2 Ratio as an Innovative Cardiac MRI Screening Tool for the Identification of Left-to-Right Shunts in Patients with Right Ventricular Disease"

    Arai, H; Kawakubo, M; Kadokami, T

    JOURNAL OF MAGNETIC RESONANCE IMAGING   55 ( 5 )   1459 - 1460   2022.5   （ ISSN:1053-1807 eISSN:1522-2586 ）

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    DOI： 10.1002/jmri.27880

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  • 肺高血圧症の診断と治療における放射線診療の役割 心臓MRIを用いた肺高血圧症における右室リモデリング評価

    河窪 正照, 山崎 誘三, 阿部 弘太郎, 細川 和也, 長尾 充展, 新井 英雄, 門上 俊明

    日本循環器学会学術集会抄録集   86回   CS1 - 5   2022.3

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  • Assessment of Bi-Ventricular and Bi-Atrial Areas Using Four-Chamber Cine Cardiovascular Magnetic Resonance Imaging: Fully Automated Segmentation with a U-Net Convolutional Neural Network International journal

    Arai Hideo, Kawakubo Masateru, Sanui Kenichi, Iwamoto Ryoji, Nishimura Hiroshi, Kadokami Toshiaki

    International Journal of Environmental Research and Public Health   19 ( 3 )   1401   2022.1   （ ISSN:1661-7827 eISSN:16604601 ）

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    Four-chamber (4CH) cine cardiovascular magnetic resonance imaging (CMR) facilitates simultaneous evaluation of cardiac chambers; however, manual segmentation is time-consuming and subjective in practice. We evaluated deep learning based on a U-Net convolutional neural network (CNN) for fully automated segmentation of the four cardiac chambers using 4CH cine CMR. Cine CMR datasets from patients were randomly assigned for training (1400 images from 70 patients), validation (600 images from 30 patients), and testing (1000 images from 50 patients). We validated manual and automated segmentation based on the U-Net CNN using the dice similarity coefficient (DSC) and Spearman’s rank correlation coefficient (ρ); p < 0.05 was statistically significant. The overall median DSC showed high similarity (0.89). Automated segmentation correlated strongly with manual segmentation in all chambers—the left and right ventricles, and the left and right atria (end-diastolic area: ρ = 0.88, 0.76, 0.92, and 0.87; end-systolic area: ρ = 0.81, 0.81, 0.92, and 0.83, respectively; p < 0.01). The area under the curve for the left ventricle, left atrium, right ventricle, and right atrium showed high scores (0.96, 0.99, 0.88, and 0.96, respectively). Fully automated segmentation could facilitate simultaneous evaluation and detection of enlargement of the four cardiac chambers without any time-consuming analysis.

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  • Decelerated Dark Flow Measured Using Steady-State Free Precession Magnetic Resonance Imaging for Specific Detection of Left Ventricular Myocardial Strain and Dyssynchrony in Dilated Cardiomyopathy

    Kawakubo Masateru, Nagao Michinobu, Nakao Risako, Watanabe Eri, Yoneyama asami, Hagiwara Nobuhisa, Sakai Shuji

    Cardiovascular Imaging Asia   6 ( 1 )   4 - 12   2022.1   （ ISSN:2508707x eISSN:25087088 ）

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    Objective: / In steady-state free precession (SSFP) cine imaging, signal loss can be observed as accelerated dark flow in patients with valvular disease and decelerated dark flow (DDF) in patients with severe left ventricular (LV) dysfunction. In our study, we measured DDF with optical flow calculations and investigated the relationship between DDF and myocardial strain or intraventricular dyssynchrony. / Materials and Methods: / Fifty-seven consecutive patients with heart failure were retrospectively enrolled. In the short-axis orientation, the optical flow magnitude vector of the DDF was calculated over a cardiac cycle. The maximum value of the mean magnitude vector in the LV blood region was defined as the DDF index. The systolic circumferential strain (CS) of the LV free-wall, as well as the absolute difference in systolic timing of the LV free-wall and interventricular septum (LV dyssynchrony, LVD), was measured using the feature-tracking method. Spearman’s correlation coefficients (ρ) were calculated between DDF and CS or LVD. / Results: / Median and interquartile ranges (25th to 75th percentile) of measured DDF, CS, and LVD in 57 patients were 14.0 (10.3 to 20.4), -8.0% (-13.3 to -3.2), and 40 ms (21 to 99), respectively. There were statistically significant correlations between the values of DDF and CS as well as LVD (0.60 and 0.48; p<0.01 for both). / Conclusion: Measurement of DDF may provide a specific clinical picture of myocardial strain and intraventricular dyssynchrony. Furthermore, it is possible to cost-effectively measure DDF without additional image acquisition during routine MR examination.

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  • Decelerated Dark Flow Measured Using Steady-State Free Precession Magnetic Resonance Imaging for Specific Detection of Left Ventricular Myocardial Strain and Dyssynchrony in Dilated Cardiomyopathy Reviewed International journal

    Masateru Kawakubo, Michinobu Nagao, Risako Nakao, Eri Watanabe, Masami Yoneyama, Nobuhisa Hagiwara, and Shuji Sakai.

    Cardiovascular Imaging Asia   6 ( 1 )   4 - 12   2022.1

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    DOI： doi.org/10.22468/cvia.2021.00339

    Other Link： https://pc.e-cvia.org/DOIx.php?id=10.22468/cvia.2021.00339

    Repository Public URL： http://hdl.handle.net/2324/4755248

  • 13N-ammonia positron emission tomography-derived left-ventricular strain in patients after heart transplantation validated using cardiovascular magnetic resonance feature tracking as reference Reviewed International journal

    Kawakubo M, Nagao M, Kikuchi N, Yamamoto A, Nakao R, Matsuo Y, Kaneko K, Watanabe E, Sasaki M, Nunoda S, Sakai S

    Ann Nucl Med.   36 ( 1 )   70 - 81   2022.1   （ ISSN:0914-7187 eISSN:1864-6433 ）

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    DOI： 10.1007/s12149-021-01686-5

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  • Assessment of Bi-Ventricular and Bi-Atrial Areas Using Four-Chamber Cine Cardiovascular Magnetic Resonance Imaging: Fully Automated Segmentation with a U-Net Convolutional Neural Network Reviewed International journal

    Hideo Arai, Masateru Kawakubo*, Kenichi Sanui, Ryoji Iwamoto, Hiroshi Nishimura, Toshiaki Kadokami. *Corresponding author

    International Journal of Environmental Research and Public Health   19 ( 3 )   1401   2022.1

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    DOI： doi.org/10.3390/ijerph19031401

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    Repository Public URL： http://hdl.handle.net/2324/4752582

  • Decelerated Dark Flow Measured Using Steady-State Free Precession Magnetic Resonance Imaging for Specific Detection of Left Ventricular Myocardial Strain and Dyssynchrony in Dilated Cardiomyopathy Reviewed International journal

    Masateru Kawakubo, Michinobu Nagao, Risako Nakao, Eri Watanabe, Masami Yoneyama, Nobuhisa Hagiwara, and Shuji Sakai.

    Cardiovascular Imaging Asia   6 ( 1 )   4 - 12   2022.1

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    Objective
    In steady-state free precession (SSFP) cine imaging, signal loss can be observed as accelerated dark flow in patients with valvular disease and decelerated dark flow (DDF) in patients with severe left ventricular (LV) dysfunction. In our study, we measured DDF with optical flow calculations and investigated the relationship between DDF and myocardial strain or intraventricular dyssynchrony.
    Materials and Methods
    Fifty-seven consecutive patients with heart failure were retrospectively enrolled. In the short-axis orientation, the optical flow magnitude vector of the DDF was calculated over a cardiac cycle. The maximum value of the mean magnitude vector in the LV blood region was defined as the DDF index. The systolic circumferential strain (CS) of the LV free-wall, as well as the absolute difference in systolic timing of the LV free-wall and interventricular septum (LV dyssynchrony, LVD), was measured using the feature-tracking method. Spearman’s correlation coefficients (ρ) were calculated between DDF and CS or LVD.
    Results
    Median and interquartile ranges (25th to 75th percentile) of measured DDF, CS, and LVD in 57 patients were 14.0 (10.3 to 20.4), -8.0% (-13.3 to -3.2), and 40 ms (21 to 99), respectively. There were statistically significant correlations between the values of DDF and CS as well as LVD (0.60 and 0.48; p<0.01 for both).
    Conclusion
    Measurement of DDF may provide a specific clinical picture of myocardial strain and intraventricular dyssynchrony. Furthermore, it is possible to cost-effectively measure DDF without additional image acquisition during routine MR examination

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  • 心臓移植後患者の13N-アンモニアPETによる左室ストレインにおいて、リファレンス画像に心血管MRIによるfeature tracking法を用いた検証(13N-ammonia positron emission tomography-derived left-ventricular strain in patients after heart transplantation validated using cardiovascular magnetic resonance feature tracking as reference)

    Kawakubo Masateru, Nagao Michinobu, Kikuchi Noriko, Yamamoto Atsushi, Nakao Risako, Matsuo Yuka, Kaneko Koichiro, Watanabe Eri, Sasaki Masayuki, Nunoda Shinichi, Sakai Shuji

    Annals of Nuclear Medicine   36 ( 1 )   70 - 81   2022.1   （ ISSN:0914-7187 ）

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    本報では心臓移植患者に対し、PET特異的なfeature tracking(FT)法によるアルゴリズムを用いて、局所壁運動を評価した。その際、リファレンス画像には心血管MRI(CMR) FTから得られた心筋ストレイン数値を用いて、13N-アンモニアPETによる心筋ストレインの数値を検証した。なお、対象患者には、3ヵ月以内に13N-アンモニアPET検査とCMRを受けた心臓移植患者15例(男性10例、女性5例、平均年齢43±14歳)とした。シネMRI画像では、左室中央スライス部位の短軸シネ画像と同一のスライス位置、水平方向の長軸シネ画像と同一のスライス位置について、PETとCMRそれぞれの円周方向ストレイン(CS)、縦方向ストレイン(LS)の測定に用いて評価した。またFTに基づき、時間-ストレイン曲線は、心周期全体を通して、シネ画像上の心内膜輪郭を半自動トラッキングで求め、時間-ストレイン曲線におけるピーク値を代表値に設定した。PETおよびCMRにおけるCSとLSの相関性は、Pearson相関係数で解析し、PETとCMRにおけるストレイン測定値の誤差は、two-way random single measuresによる級内相関係数(ICC)で調べた。その結果、PETおよびCMRのCSとLSで、極めて良好な相関性が得られ、PETのCSとLSで、優れたICCが認められた。以上より、PETストレインはCMRストレインと良好に一致し、測定値も再現性が高いことが確認された。

  • Myocardial Strain Derived from <sup>13</sup>N-ammonia Positron Emission Tomography International journal

    Nagao Michinobu, Kawakubo Masateru, Yamamoto Atsushi, Nakao Risako, Matsuo Yuka, Fukushima Kenji, Sakai Akiko, Momose Mitsuru, Sakai Shuji

    Annals of Nuclear Cardiology   9 ( 1 )   26 - 32   2022   （ ISSN:21893926 eISSN:24241741 ）

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    Language：English   Publisher：Japanese Society of Nuclear Cardiology  

    <i>Background</i>: Due to the limitation of spatial resolution, cardiac nuclear medicine images have not been applied to feature-tracking method to automatic extraction of myocardial contours. We have successfully applied the feature-tracking method to high-resolution cine <sup>13</sup>N-ammonia positron emission tomography (PET) images to calculate the regional myocardial strains. Here, we investigate the potential of <sup>13</sup>N-ammonia PET-derived strain to detect ischemia-related wall motion abnormality.<br><i>Methods</i>: Data of adenosine-stress/rest <sup>13</sup>N-ammonia PET for 95 coronary artery disease patients was retrospectively analyzed. Using an original algorithm dedicated to <sup>13</sup>N-ammonia PET, the longitudinal strain (LS) corresponding to the three main coronary artery territories [right coronary artery: RCA, left anterior descending artery (LAD), and left circumflex coronary artery (LCX)] was calculated from semi-automatic endocardial contours extraction on cine <sup>13</sup>N-ammonia PET images of the left ventricular long-axis. The presence of ischemia in three main territories was determined from rest and stress-perfusion images.<br><i>Results</i>: In all three coronary territories, LS at stress was significantly smaller at rest in the ischemic region RCA: -19.2±8.0% vs. -22.7±6.1%, LAD: -19.0±6.9% vs. -24.4±6.4%, LCX: -20.5%±7.6% vs. -22.6±6.9%). In contrast, in the non-ischemic region, there was no significant difference between the LS at stress and at rest. Receiver-operating-characteristic analysis revealed that using the optimal cutoff of the LS ratio of stress to rest, ischemia could be diagnosed with area under the curve of 0.82 in the RCA, 0.86 in the LAD, and 0.69 in the LCX.<br><i>Conclusions</i>: Myocardial strain derived from endocardial feature-tracking of <sup>13</sup>N-ammonia PET cine imaging is reduced in the ischemia induced by adenosine-stress. The LS ratio of stress to rest may detect wall motion abnormality related to ischemia.

    DOI： 10.17996/anc.22-00161

    PubMed

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  • 13N-ammonia positron emission tomography-derived endocardial strain for the assessment of ischemia using feature-tracking in high-resolution cine imaging Reviewed International journal

    Masateru Kawakubo, Michinobu Nagao, Atsushi Yamamoto, Risako Nakao, Yuka Matsuo, Kenji Fukushima, Eri Watanabe, Akiko Sakai, Masayuki Sasaki, and Shuji Sakai

    Journal of Nuclear Cardiology. Picked up in Editorial (https://link.springer.com/content/pdf/10.1007/s12350-021-02747-y.pdf).   29 ( 5 )   2103 - 2114   2021.6   （ ISSN:1071-3581 eISSN:1532-6551 ）

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1007/s12350-021-02677-9

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    PubMed

    Repository Public URL： http://hdl.handle.net/2324/4755249

  • Influence of beam hardening in dual- energy CT imaging: phantom study for iodine mapping, virtual monoenergetic imaging, and virtual non-contrast imaging Reviewed International journal

    Kanatani R, Shirasaka T, Kojima T, Kato T, Kawakubo M*. *Corresponding author

    European Radiology Experimental   5 ( 18 )   2021.4

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： https://doi.org/10.1186/s41747-021-00217-1

    Repository Public URL： http://hdl.handle.net/2324/4400019

  • Dual VENC 4D flow magnetic resonance imaging demonstrates arterial-pulmonary collaterals in an adult with tetralogy of Fallot Reviewed International journal

    Shiina Y, Kawakubo M, Inai K, Asagai S, Nagao M.

    Eur Heart J Cardiovasc Imaging.   Online ahead of print.   2020.12

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1093/ehjci/jeaa343.

  • New transluminal attenuation gradient derived from dynamic coronary CT angiography: diagnostic ability of ischemia detected by 13N-ammonia PET Reviewed International journal

    T Kojima, M Nagao, H Yabuuchi, Y Yamasaki, T Shirasaka, M Kawakubo, K Fukushima, T Koto, A Yamamoto, R Nakao, A Sakai, E Watanabe, and S Sakai

    Heart and Vessels   In Press   2020.10

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    Language：English   Publishing type：Research paper (scientific journal)  

  • Assessing myocardial circumferential strain using cardiovascular magnetic resonance after magnetic resonance-conditional cardiac resynchronization therapy Reviewed International journal

    Hideo Arai, Masateru Kawakubo*, Kenichi Sanui, Hiroshi Nishimura, Toshiaki Kadokami. *Corresponding author

    Radiology Case Reports   15 ( 10 )   1954 - 1959   2020.8

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： doi.org/10.1016/j.radcr.2020.07.063

    Repository Public URL： http://hdl.handle.net/2324/4110732

  • The relationship between extracellular volume fraction in symptomatic adults with tetralogy of Fallot and adverse cardiac events. Reviewed International journal

    Shiina Y, Taniguchi K, Nagao M, Takahashi T, Niwa K, Kawakubo M, and Inai K.

    Journal of Cardiology   75 ( 4 )   424 - 431   2020.4

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    DOI： DOI: 10.1016/j.jjcc.2019.09.009.

  • Quantification of intramyocardial hemorrhage volume using magnetic resonance imaging with three-dimensional T1-weighted sequence in patients with ischemia-reperfusion injury—a semi-automated image processing technique Reviewed International journal

    36 ( 1 )   111 - 119   2020.1

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1007/s10554-019-01697-4

    Repository Public URL： http://hdl.handle.net/2324/4479729

  • Prediction of Cardiac Resynchronization Therapy Response in Dilated Cardiomyopathy Using Vortex Flow Mapping on Cine Magnetic Resonance Imaging Reviewed International journal

    R Nakao, M Nagao, K Fukushima, A Sakai, E Watanabe, M Kawakubo, S Sakai, N Hagiwara.

    Circulation Reports   1 ( 8 )   333 - 341   2019.8

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1253/circrep.CR-18-0024

    Repository Public URL： http://hdl.handle.net/2324/4480689

  • Global left ventricular area strain using standard two-dimensional cine MR imaging with inter-slice interpolation Reviewed International journal

    Kawakubo M*, Arai H, Nagao M, Yamasaki Y, Sanui K, Nishimura H, Kadokami T. *Corresponding author

    Cardiovascular Imaging: Asia   2 ( 4 )   187 - 193   2018.10

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： https://doi.org/10.22468/cvia.2018.00108

    Repository Public URL： http://hdl.handle.net/2324/4479731

  • Accurate and robust systolic myocardial T1 mapping using saturation recovery with individualized delay time: Comparison with diastolic T1 mapping Reviewed International journal

    Arai H, Kawakubo M, Sanui K, Nishimura H, Kadokami T.

    Radiol Phys Technol.   11 ( 4 )   415 - 422   2018.9

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： https://doi.org/10.1007/s12194-018-0478-x

  • Assessment by airway ellipticity on cine-MRI to differentiate severe obstructive sleep apnea. Reviewed International journal

    Kojima T, Kawakubo M, Nishizaka MK, Rahmawati A, Ando S, Chishaki SA, Nakamura Y, Nagao M

    Clinical Respiratory Journal   12 ( 3 )   878 - 884   2018.3

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    DOI： 10.1111/crj.12598.

  • Three-dimensional phase contrast magnetic resonance imaging validated to assess pulmonary artery flow in patients with chronic thromboembolic pulmonary hypertension. Reviewed International journal

    Kawakubo M*, Akamine H, Yamasaki Y, Takemura A, Abe K, Hosokawa K, Morishita J, Nagao M. *Corresponding author

    Radiological Physics and Technologies   2016.10

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  • Evaluation of ventricular dysfunction using semi-automatic longitudinal strain analysis of four-chamber cine MR imaging. Reviewed International journal

    Kawakubo M*, Nagao M, Kumazawa S, Yamasaki Y, Chishaki AS, Nakamura Y, Honda H, Morishita J. *Corresponding author

    The International Journal of Cardiovascular Imaging.   32 ( 2 )   283 - 9   2016.2

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  • Clinical Impact of Interventricular Dyssynchrony in Repaired Tetralogy of Fallot: Myocardial Strain Analysis Using Semi-automatic Tracking of Cine Magnetic Resonance Imaging. Reviewed

    Kawakubo M*, Yamasaki Y, Sakamoto I, Yamamura K, Nagao M. *Corresponding author

    Journal of Adult Congenital Heart Disease   Vol. 4 ( No. 2 )   69 - 73   2015.12

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  • 動体追跡照射における体内マーカ追跡用透視X線による皮膚入射線量の推定: 正弦波呼吸モデルによるシミュレーション Reviewed

    河窪 正照*, 安井　謙一郎, 大石　誉奈, 神崎　竜二, 真田　泰三． *責任著者

    日本放射線技術学会雑誌   65 ( 4 )   456 - 461   2009.4

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    Language：Japanese   Publishing type：Research paper (scientific journal)  

  • Evaluation of the spatial resolution of multiplanar reconstruction images. Reviewed International journal

    Kudomi S, Ueda K, Ueda Y, Kawakubo M, Sanada T

    Radiological Physics and Technologies   1 ( 2 )   229 - 233   2008.7

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    Language：English   Publishing type：Research paper (scientific journal)  

  • 動体追跡照射における体内マーカ追跡用透視装置の皮膚吸収線量測定

    河窪 正照、安井 謙一郎、小山 里美、近沢 苑、大石 誉奈、神﨑 竜二、真田 泰三

    日本放射線技術学会 放射線防護分科会会誌   25   75   2007.10

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    Language：Japanese   Publishing type：Research paper (other academic)  

    DOI： https://doi.org/10.18973/protectionjsrt.25.0_75

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Books

  • 医用画像検査技術学 改訂4版

    分担執筆：河窪 正照, 小林 幸次.　編集：杜下 淳次, 加藤 豊幸（ Role： Joint author）

    株式会社南山堂  2020.11 

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    Responsible for pages：5章 MR検査. p.263–p.346   Language：Japanese   Book type：Scholarly book

  • ポケット英和医学用語・略語辞典

    「ポケット英和医学用語・略語辞典」編集委員会（ Role： Edit）

    南山堂  2011.1 

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    Responsible for pages：第13版   Language：Japanese   Book type：Scholarly book

Presentations

  • SPECT-to-PET Image Translation Model Based on Deep Learning to Improve the Diagnostic Accuracy of SPECT for Myocardial Ischemia and INOCA

    2024.3 

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    Event date： 2024.3

    Language：Japanese   Presentation type：Symposium, workshop panel (public)  

    Country：Japan  

  • SPECT-to-PET Image Translation Model Based on Deep Learning to Improve the Diagnostic Accuracy of SPECT for Myocardial Ischemia and INOCA

    中尾 梨沙子, 長尾 充展, 河窪 正照, 山本 篤志, 今門 理紗, 坂井 晶子, 百瀬 満, 坂井 修二, 山口 淳一.

    第88回日本循環器学会学術集会  2024.3 

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    Event date： 2024.3

    Language：Japanese  

    Venue：神戸コンベンションセンター   Country：Japan  

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  • Virtual myocardial PET generated from SPECT-to-PET translation model corrects false high resting score in SPECT due to photon attenuation International conference

    Kawakubo M, Nagao M, Yamamoto A, Kaimoto Y, Kawasaki H, Iwaguchi T, Nakao R, Matsuo Y, Kaneko K, Sakai A, Sakai S.

    The 109th Scientific Assembly & Annual Meeting of the RSNA  2023.11 

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    Event date： 2023.11 - 2023.12

    Language：Japanese   Presentation type：Oral presentation (general)  

    Country：United States  

  • Virtual myocardial PET generated from SPECT-to-PET translation model corrects false high resting score in SPECT due to photon attenuation International conference

    Kawakubo M, Nagao M, Yamamoto A, Kaimoto Y, Kawasaki H, Iwaguchi T, Nakao R, Matsuo Y, Kaneko K, Sakai A, Sakai S.

    The 109th Scientific Assembly & Annual Meeting of the RSNA  2023.11 

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    Event date： 2023.11 - 2023.12

    Language：Japanese  

    Venue：McCormick Place   Country：United States  

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  • DEEP LEARNING ATTENUATION CORRECTION FOR MYOCARDIAL PERFUSION SCINTIGRAPHY BASED ON SPECT-TO-PET IMAGE TRANSLATION International conference

    Kawakubo, Nagao M, Kaimoto Y, Nakao R, Yamamoto A, Kawasaki H, Iwagucbi T, Matsuo Y, Kaneko K, Sakai A, Sakai S.

    The Asian Society of Cardiovascular Imaging (ASCI 2023)  2023.8 

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    Event date： 2023.8

    Language：Japanese   Presentation type：Oral presentation (general)  

    Country：Indonesia  

  • DEEP LEARNING ATTENUATION CORRECTION FOR MYOCARDIAL PERFUSION SCINTIGRAPHY BASED ON SPECT-TO-PET IMAGE TRANSLATION International conference

    Kawakubo, Nagao M, Kaimoto Y, Nakao R, Yamamoto A, Kawasaki H, Iwagucbi T, Matsuo Y, Kaneko K, Sakai A, Sakai S.

    The Asian Society of Cardiovascular Imaging (ASCI 2023)  2023.8 

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    Event date： 2023.8

    Language：Japanese  

    Venue：Bali Nusa Dua Convention Center (BNDCC) in Bali.   Country：Indonesia  

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  • Novel analysis for endocardial wall strain with 13N ammonia PET feature tracking -Comparison with CMR-feature tracking using integrated PETMR system- International conference

    Kenji Fukushima, Masataka Katahira, Keiichiro Endo, Masateru Kawakubo, Ryo Yamakuni, Takatoyo Kiko, Katsuyuki Kikori, Naoyuki Ukon, Shiro Ishii, Michinobu Nagao, Hiroshi Ito, Yasuchika Takeishi

    SNMMI 2023 Annual Meeting  2023.6 

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    Event date： 2023.6

    Language：English  

    Country：United States  

  • Novel analysis for endocardial wall strain with 13N ammonia PET feature tracking -Comparison with CMR-feature tracking using integrated PETMR system- International conference

    Kenji Fukushima, Masataka Katahira, Keiichiro Endo, Masateru Kawakubo, Ryo Yamakuni, Takatoyo Kiko, Katsuyuki Kikori, Naoyuki Ukon, Shiro Ishii, Michinobu Nagao, Hiroshi Ito, Yasuchika Takeishi

    SNMMI 2023 Annual Meeting  2023.6 

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    Event date： 2023.6

    Language：English  

    Venue：Chicago,Illinois   Country：United States  

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  • 深層学習を用いた仮想PET生成技術によるSPECT心筋シンチグラフィの光子減衰補正

    河窪　正照, 長尾　充展, 中尾　梨沙子, 貝本　葉子, 山本　篤志, 川崎　洋, 松尾　有香, 金子　恒一郎, 坂井　晶子, 坂井　修二.

    第33回日本心臓核医学会総会・学術大会  2023.6 

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    Event date： 2023.6

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：出島メッセ長崎 (長崎市）   Country：Japan  

  • Hybrid PETMR を用いたアンモニア PET Feature Tracking による心内膜ストレインの臨床的有用性の検討

    片平 正隆, 河窪 正照, 他.

    第33回日本心臓核医学会総会・学術大会  2023.6 

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    Event date： 2023.6

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：出島メッセ長崎 (長崎市）   Country：Japan  

  • 心筋Ammonia PETから得られる左室ストレインによる冠動脈バイパスグラフト術前後の評価

    山本 篤志, 河窪 正照, 他.

    第33回日本心臓核医学会総会・学術大会  2023.6 

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    Event date： 2023.6

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：出島メッセ長崎 (長崎市）   Country：Japan  

  • 心電図同期FDG-PETの位相解析による心サルコイドーシス活動性病変の評価

    筒井 悠治, 河窪 正照, 他.

    第33回日本心臓核医学会総会・学術大会  2023.6 

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    Event date： 2023.6

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：出島メッセ長崎 (長崎市）   Country：Japan  

  • Hybrid PETMR を用いたアンモニア PET Feature Tracking による心内膜ストレインの臨床的有用性の検討

    片平 正隆, 河窪 正照, 他.

    第33回日本心臓核医学会総会・学術大会  2023.6 

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    Event date： 2023.6

    Language：Japanese  

    Venue：出島メッセ長崎 (長崎市）   Country：Japan  

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  • 深層学習を用いた仮想PET生成技術によるSPECT心筋シンチグラフィの光子減衰補正

    河窪 正照, 長尾 充展, 中尾 梨沙子, 貝本 葉子, 山本 篤志, 川崎 洋, 松尾 有香, 金子 恒一郎, 坂井 晶子, 坂井 修二.

    第33回日本心臓核医学会総会・学術大会  2023.6 

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    Event date： 2023.6

    Language：Japanese  

    Venue：出島メッセ長崎 (長崎市）   Country：Japan  

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  • 心電図同期FDG-PETの位相解析による心サルコイドーシス活動性病変の評価

    筒井 悠治, 河窪 正照, 他.

    第33回日本心臓核医学会総会・学術大会  2023.6 

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    Event date： 2023.6

    Language：Japanese  

    Venue：出島メッセ長崎 (長崎市）   Country：Japan  

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  • 心筋Ammonia PETから得られる左室ストレインによる冠動脈バイパスグラフト術前後の評価

    山本 篤志, 河窪 正照, 他.

    第33回日本心臓核医学会総会・学術大会  2023.6 

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    Event date： 2023.6

    Language：Japanese  

    Venue：出島メッセ長崎 (長崎市）   Country：Japan  

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  • Right Ventricular Myocardial Strain Derived from Cardiac Magnetic Resonance Imaging and Positron Emission Tomography

    2023.3 

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    Event date： 2023.3

    Language：Japanese   Presentation type：Symposium, workshop panel (public)  

    Country：Japan  

  • Risk Stratification in Coronary Artery Disease Using Myocardial Flow Reserve and Right Ventricular Strain Derived from Semiconductor NH3-PET

    2023.3 

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    Event date： 2023.3

    Language：Japanese   Presentation type：Symposium, workshop panel (public)  

    Country：Japan  

  • Virtual Myocardial PET Created from Deep Learning of SPECT and PET Datasets: Potential for SPECT Artifact Correction

    2023.3 

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    Event date： 2023.3

    Language：Japanese   Presentation type：Symposium, workshop panel (public)  

    Country：Japan  

  • Right Ventricular Myocardial Strain Derived from Cardiac Magnetic Resonance Imaging and Positron Emission Tomography

    河窪 正照, 山崎 誘三, 長尾 充展, 阿部 弘太郎, 細川 和也, 永田 弾, 山村 健一郎, 豊村 大亮, 山本 篤志, 新井 英雄, 門上 俊明.

    第87回日本循環器学会学術集会  2023.3 

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    Event date： 2023.3

    Language：Japanese  

    Venue：福岡国際会議場・福岡サンパレス・マリンメッセ福岡・福岡国際センター（福岡市）   Country：Japan  

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  • Virtual Myocardial PET Created from Deep Learning of SPECT and PET Datasets: Potential for SPECT Artifact Correction

    中尾 梨沙子, 長尾 充展, 河窪 正照, 山本 篤志, 百瀬 満, 坂井 晶子, 坂井 修二, 山口 淳一.

    第87回日本循環器学会学術集会  2023.3 

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    Event date： 2023.3

    Language：Japanese  

    Venue：福岡国際会議場・福岡サンパレス・マリンメッセ福岡・福岡国際センター（福岡市）   Country：Japan  

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  • Risk Stratification in Coronary Artery Disease Using Myocardial Flow Reserve and Right Ventricular Strain Derived from Semiconductor NH3-PET

    山本 篤志, 長尾 充展, 河窪 正照, 安藤 聖恵, 中尾 梨沙子, 坂井 晶子, 百瀬 満, 福島 賢慈, 坂井 修二, 山口 淳一.

    第87回日本循環器学会学術集会  2023.3 

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    Event date： 2023.3

    Language：Japanese  

    Venue：福岡国際会議場・福岡サンパレス・マリンメッセ福岡・福岡国際センター（福岡市）   Country：Japan  

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  • 胸部X線画像の深層学習モデルによる体内手術遺残物の検出特性

    河窪 正照、脇 大登、白坂 崇、小島 宰、三賀山 諒司、濱崎 洋志、赤嶺寛地、加藤 豊幸

    第38回 日本診療放射線技師学術大会  2022.9 

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    Event date： 2022.9

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：神戸コンベンションセンター（神戸市）   Country：Japan  

  • 胸部X線画像の深層学習モデルによる体内手術遺残物の検出特性

    河窪 正照, 脇 大登, 白坂 崇, 小島 宰, 三賀山 諒司, 濱崎 洋志, 赤嶺寛地, 加藤 豊幸

    第38回 日本診療放射線技師学術大会  2022.9 

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    Event date： 2022.9

    Language：Japanese  

    Venue：神戸コンベンションセンター（神戸市）   Country：Japan  

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  • 心臓 MRI を用いた肺高血圧症における右室リモデリング評価 Invited

    河窪 正照

    第133回関西IVR撮影技術研究会定例会  2022.7 

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    Event date： 2022.7

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：WEB開催   Country：Japan  

  • 心臓 MRI を用いた肺高血圧症における右室リモデリング評価 Invited

    河窪 正照

    第133回関西IVR撮影技術研究会定例会  2022.7 

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    Event date： 2022.7

    Language：Japanese  

    Venue：WEB開催   Country：Japan  

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  • Ammonia PET-derived Right Ventricular Strain: Prognostic Value in Coronary Artery Disease International conference

    Atsushi Yamamoto, Michinobu Nagao, Masateru Kawakubo, Kiyoe Ando, Risako Nakao, Yuka Matsuo, Akiko Sakai, Mitsuru Momose, Koichiro Kaneko, Kenji Fukushima, Shuji Sakai, Nobuhisa Hagiwara.

    SNMMI 2022 Annual Meeting  2022.6 

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    Event date： 2022.6

    Language：English  

    Country：Canada  

  • Myocardial Energy Estimated by PET Strain and Myocardial Flow Reserve: New Strategy for Coronary Artery Disease International conference

    Atsushi Yamamoto, Michinobu Nagao, Masateru Kawakubo, Kiyoe Ando, Risako Nakao, Yuka Matsuo, Akiko Sakai, Mitsuru Momose, Koichiro Kaneko, Kenji Fukushima, Shuji Sakai, Nobuhisa Hagiwara.

    SNMMI 2022 Annual Meeting  2022.6 

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    Event date： 2022.6

    Language：English  

    Country：Canada  

  • Ammonia PET-derived Right Ventricular Strain: Prognostic Value in Coronary Artery Disease International conference

    Atsushi Yamamoto, Michinobu Nagao, Masateru Kawakubo, Kiyoe Ando, Risako Nakao, Yuka Matsuo, Akiko Sakai, Mitsuru Momose, Koichiro Kaneko, Kenji Fukushima, Shuji Sakai, Nobuhisa Hagiwara.

    SNMMI 2022 Annual Meeting  2022.6 

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    Event date： 2022.6

    Language：English  

    Venue：Vancouver, British Columbia Canada   Country：Canada  

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  • Myocardial Energy Estimated by PET Strain and Myocardial Flow Reserve: New Strategy for Coronary Artery Disease International conference

    Atsushi Yamamoto, Michinobu Nagao, Masateru Kawakubo, Kiyoe Ando, Risako Nakao, Yuka Matsuo, Akiko Sakai, Mitsuru Momose, Koichiro Kaneko, Kenji Fukushima, Shuji Sakai, Nobuhisa Hagiwara.

    SNMMI 2022 Annual Meeting  2022.6 

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    Event date： 2022.6

    Language：English  

    Venue：Vancouver, British Columbia Canada   Country：Canada  

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  • Myocardial Energy Estimated by Ammonia PET: New Strategy for　Coronary Artery Disease (YIA最優秀賞)

    山本　篤志, 長尾　充展, 河窪　正照, 安藤　聖恵, 中尾　梨沙子, 松尾　有香, 福島　賢慈, 百瀬　満, 金子　恒一郎, 坂井　修二, 萩原　誠久.

    第32回日本心血管画像動態学会  2022.5 

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    Event date： 2022.5

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：東京コンベンションホール(東京都中央区)   Country：Japan  

  • Myocardial Energy Estimated by Ammonia PET: New Strategy for Coronary Artery Disease (YIA最優秀賞)

    山本 篤志, 長尾 充展, 河窪 正照, 安藤 聖恵, 中尾 梨沙子, 松尾 有香, 福島 賢慈, 百瀬 満, 金子 恒一郎, 坂井 修二, 萩原 誠久.

    第32回日本心血管画像動態学会  2022.5 

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    Event date： 2022.5

    Language：Japanese  

    Venue：東京コンベンションホール(東京都中央区)   Country：Japan  

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  • Quantitative evaluation of spinal cord cine-MRI with optical flow analysis International conference

    Tomohiko Horie, Natsuo Konta, Masateru Kawakubo, Hiroshi Hamano, Han Soo Chang, Tetsu Niwa, Kagayaki Kuroda, Mitsunori Matsumae

    Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting  2022.5 

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    Event date： 2022.5

    Language：English  

    Country：United Kingdom  

  • Quantitative evaluation of spinal cord cine-MRI with optical flow analysis International conference

    Tomohiko Horie, Natsuo Konta, Masateru Kawakubo, Hiroshi Hamano, Han Soo Chang, Tetsu Niwa, Kagayaki Kuroda, Mitsunori Matsumae

    Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting  2022.5 

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    Event date： 2022.5

    Language：English  

    Venue：London, England   Country：United Kingdom  

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  • 胸部エックス線画像の深層学習による外科手術に伴う体内遺残物検出システムの開発(銅賞)

    河窪 正照、脇 大登、白坂 崇、小島 宰、三賀山 諒司、濱崎 洋志、加藤 豊幸

    第78回 日本放射線技術学会総会学術大会  2022.4 

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    Event date： 2022.4

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：パシフィコ横浜   Country：Japan  

  • 胸部エックス線画像の深層学習による外科手術に伴う体内遺残物検出システムの開発

    河窪 正照, 脇 大登, 白坂 崇, 小島 宰, 三賀山 諒司, 濱崎 洋志, 加藤 豊幸

    第78回 日本放射線技術学会総会学術大会  2022.4 

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    Event date： 2022.4

    Language：Japanese  

    Venue：パシフィコ横浜   Country：Japan  

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  • 心臓MRIを用いた肺高血圧症における右室リモデリング評価

    河窪 正照、山崎 誘三、阿部 弘太郎、細川 和也、長尾 充展、新井 英雄、門上 俊明.

    第86回日本循環器学会学術集会  2022.3 

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    Event date： 2022.3

    Language：Japanese   Presentation type：Symposium, workshop panel (public)  

    Venue：Web   Country：Japan  

  • Myocardial Energy Estimated by Ammonia PET: New Strategy for Coronary Artery Disease

    Yamamoto A, Nagao M, Kawakubo M, Ando K, Nakao R, Sakai A, Momose M, Fukushima K, Sakai S, Hagiwara N.

    2022.3 

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    Event date： 2022.3

    Language：Japanese   Presentation type：Oral presentation (general)  

    Country：Japan  

  • 磁気共鳴画像の四腔像の深層学習を用いた領域抽出による左右の心室および心房の全自動面積評価(最優秀賞)

    新井 英雄、河窪 正照、讃井 憲一、西村 浩、門上 俊明.

    第86回日本循環器学会学術集会  2022.3 

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    Event date： 2022.3

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：Web   Country：Japan  

  • Myocardial Energy Estimated by Ammonia PET: New Strategy for Coronary Artery Disease

    Yamamoto A, Nagao M, Kawakubo M, Ando K, Nakao R, Sakai A, Momose M, Fukushima K, Sakai S, Hagiwara N.

    第86回日本循環器学会学術集会  2022.3 

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    Event date： 2022.3

    Language：Japanese  

    Venue：Web   Country：Japan  

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  • 磁気共鳴画像の四腔像の深層学習を用いた領域抽出による左右の心室および心房の全自動面積評価(最優秀賞受賞)

    新井 英雄, 河窪 正照, 讃井 憲一, 西村 浩, 門上 俊明.

    第86回日本循環器学会学術集会  2022.3 

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    Event date： 2022.3

    Language：Japanese  

    Venue：Web   Country：Japan  

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  • 心臓MRIを用いた肺高血圧症における右室リモデリング評価

    河窪 正照, 山崎 誘三, 阿部 弘太郎, 細川 和也, 長尾 充展, 新井 英雄, 門上 俊明.

    第86回日本循環器学会学術集会  2022.3 

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    Event date： 2022.3

    Language：Japanese  

    Venue：Web   Country：Japan  

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  • Cardiac Magnetic Resonance Feature Trackingによるファロー四徴症術後の右房機能評価

    豊村 大亮, 長友 雄作, 河窪 正照, 山崎 誘三, 福岡 将治, 鵜池 清, 平田 悠一郎, 山村 健一郎, 坂本 一郎, 石神 康生, 大賀 正一

    第57回小児循環器学会総会・学術集会  2021.7 

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    Event date： 2021.7

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：奈良県コンベンションセンター（奈良市）   Country：Japan  

  • 高解像13N-アンモニアPET画像のfeature-trackingによる右心室ストレインと心筋虚血との関連

    河窪正照, 長尾充展, 山本篤志, 中尾梨沙子, 松尾有香, 福島賢慈, 渡邊絵里, 坂井晶子, 佐々木雅之, 坂井修二

    第31回日本心臓核医学会総会・学術大会  2021.6 

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    Event date： 2021.6

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：Web開催   Country：Japan  

  • 13N-ammonia PET-derived myocardial strain: first challenge for patients with coronary artery disease (CyPos賞 Bronze Medal)

    Yurie Shiraia, Masateru Kawakubo, Michinobu Nagao,　Atsushi Yamamota, Yuka Matsuo, Misturu Momose, Risako Nakao, Kenji Fukushima, Masayuki Sasaki, and Shuji Sakai

    第80回日本医学放射線学会  2021.4 

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    Event date： 2021.4

    Language：English   Presentation type：Oral presentation (general)  

    Venue：パシフィコ横浜（横浜市）   Country：Japan  

  • 13N-アンモニアPETストレイン解析による右室壁運動と心筋血流予備能の関連

    第85回日本循環器学会学術集会  2021.3 

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    Event date： 2021.3

    Language：English  

    Venue：神奈川県横浜市   Country：Japan  

  • 肺高血圧症の右心室リモデリングに対する治療戦略決定のための全自動画像解析

    河窪 正照

    国立研究開発法人日本医療研究開発機構　革新的医療技術創出拠点　令和二年度成果報告会  2021.3 

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    Event date： 2021.3

    Language：Japanese  

    Venue：Web開催   Country：Japan  

  • 肺高血圧症の右心室リモデリングに対する 治療戦略決定のための全自動画像解析

    河窪　正照

    第8回TR推進合同フォーラム・ライフサイエンス技術交流会  2021.2 

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    Event date： 2021.2

    Language：Japanese  

    Venue：Webinar   Country：Japan  

  • Potential of Right Ventricular Strain Estimated by 13N-Ammonia PET for the Assessment of Ischemic Cardiomyopathy International conference

    M Kawakubo, M Nagao, A Yamamoto, R Nakao, Y Matsuo, K Fukushima, E Watanabe, A Sakai, M Sasaki, and S Sakai.

    The 106th Scientific Assembly & Annual Meeting of the RSNA  2020.11 

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    Event date： 2020.11 - 2020.12

    Language：English  

    Country：United States  

  • Feature-Tracking of High-Resolution Cine Imaging Derived From 13N-Ammonia PET: Diagnostic Ability of Longitudinal Strain for Detection of Myocardial Ischemia International conference

    M Kawakubo, M Nagao, A Yamamoto, R Nakao, Y Matsuo, K Fukushima, E Watanabe, A Sakai, M Sasaki, and S Sakai.

    The 106th Scientific Assembly & Annual Meeting of the RSNA  2020.11 

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    Event date： 2020.11 - 2020.12

    Language：English  

    Country：United States  

  • アンモニアPETによる心筋ストレイン：新たな冠動脈疾患の機能評価(受賞あり)

    白井友理恵, 河窪正照, 長尾充展, 山本篤志, 松尾有香, 安藤聖恵, 中尾梨沙子, 坂井晶子, 福島賢慈, 渡邊絵理, 百瀬満, 坂井修二.

    第23回心世代核医学研究会  2020.11 

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    Event date： 2020.11

    Language：Japanese  

    Country：Japan  

  • アンモニアPETによる心筋ストレイン：虚血壁運動異常の検出

    長尾充展, 河窪正照, 山本篤志, 松尾有香, 安藤聖恵, 中尾梨沙子, 坂井晶子, 福島賢慈, 渡邊絵理, 百瀬満, 坂井修二.

    第60回日本核医学会学術総会  2020.11 

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    Event date： 2020.11

    Language：Japanese  

    Venue：神戸国際会議場(神戸市)   Country：Japan  

  • Optical flow analysis combined with rapid cine MRI using compressed sensing could detect regional differences of lung motion in different postures 圧縮センシング併用高速シネ MRIのオプティカルフロー解析による体位変換後の肺局所運動の変化の検出

    Koji Sagiyama， Masateru Kawakubo， Ryohei Funatsu， Takeshi Kamitani， Yuzo Yamasaki， Tomoyuki Hida， Yuko Matsuura， Hidetake Yabuuchi， Kousei Ishigami

    第48回 日本磁気共鳴医学会大会  2020.9 

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    Event date： 2020.9 - 2020.10

    Language：Japanese  

    Venue：Web開催   Country：Japan  

  • Detecting regional differences of lung motion by optical flow analysis combined with rapid cine MRI using compressed sensing International conference

    Koji Sagiyama, Masateru Kawakubo, Ryohei Funatsu, Takeshi Kamitani, Yuzo Yamasaki, Tomoyuki Hida, Yuko Matsuura, Yuriko Murayama, and Hidetake Yabuuchi

    ISMRM & SMRT VIRTUAL CONFERENCE & EXHIBITION  2020.8 

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    Event date： 2020.8

    Language：English  

    Country：Other  

    Other Link： https://www.ismrm.org/20/program_files/DP03-01.htm

  • SSFPシネMRIにおける減速流と左室心筋ストレインおよび左室同期障害との関連

    第47回日本磁気共鳴医学会大会  2019.9 

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    Event date： 2019.9

    Language：Japanese  

    Venue：ホテル日航熊本   Country：Japan  

  • 最新の心臓MR画像解析 Invited

    河窪　正照

    第111回　MR研究会  2019.8 

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    Event date： 2019.8

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：アクロス福岡　大会議室   Country：Japan  

  • CT instantaneous wave-free ratio (iFR) for detecting functional coronary stenosis using whole heart dynamic imaging with dose modulated scan International conference

    M. Kawakubo, M. Nagao, K. Fukushima, E. Watanabe, A. Sakai, S. Suzaki, Y. Shimomiya, S. Sakai

    European Congress of Radiology  2020.7 

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    Event date： 2019.7

    Language：English  

    Country：Other  

  • Association between decelerated dark flow in steady-state free precession cine cardiac MR imaging and left ventricular myocardial functions International conference

    M. Kawakubo, M. Nagao, R. Nakao, E. Watanabe, M. Yoneyama, N. Hagiwara, S. Sakai

    European Congress of Radiology  2020.7 

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    Event date： 2019.7

    Language：English  

    Country：Other  

  • MR画像のフラクタル解析による成人修正大血管転位における右心室リモデリングの評価

    河窪 正照、長尾 充展、石崎 海子、椎名 由美、稲井 慶、山崎 誘三、米山 正巳、坂井 修二

    第89回日本心臓血管放射線研究会  2019.7 

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    Event date： 2019.7

    Language：Japanese  

    Venue：秋葉原コンベンションセンター   Country：Japan  

  • 磁気共鳴画像を用いた心筋虚血再灌流傷害の非侵襲的診断法の確立

    河窪正照

    第83回日本循環器学会学術集会  2019.3 

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    Event date： 2019.3

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：神奈川県横浜市   Country：Japan  

  • Hybrid analysis of transluminal attenuation gradient and dynamic 320-detector coronary CT angiography: detection of functional coronary stenosis International conference

    Tsukasa Kojima, Michinobu Nagao, Takashi Shirasaka, Masateru Kawakubo, Yamato Shimomiya, Yuzo Yamasaki, Toyoyuki Kato, Shuji Sakai.

    European Congress of Radiology  2019.3 

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    Event date： 2019.2 - 2019.3

    Language：English  

    Country：Austria  

  • How to quantify the intramyocardial hemorrhage after reperfusion injury: comparison to various semi-automatically methods International conference

    H Arai, M Kawakubo, M Eguchi, K Sanui, H Nishimura, and T Kadokami.

    The 104th Scientific Assembly & Annual Meeting of the RSNA  2018.11 

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    Event date： 2018.11 - 2018.12

    Language：English  

    Country：United States  

  • Superiority of systolic T1 mapping with saturation recovery for errors of image registration and identification of myocardium International conference

    Arai H, Kawakubo M, Sanui K, Nishimura H, Kadokami T.

    The 104th Scientific Assembly & Annual Meeting of the RSNA  2018.11 

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    Event date： 2018.11 - 2018.12

    Language：English  

    Country：United States  

  • 心臓の医用動画像を用いた視覚的かつ定量的な3次元の同期障害解析技術

    河窪正照

    九州大学　新技術説明会  2018.11 

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    Event date： 2018.11

    Language：Japanese  

    Venue：JST東京本部別館1Fホール（東京・市ケ谷）   Country：Japan  

  • Vortex flow in left ventricle interrupts efficient ejection: Demonstration by vortex flow map of cardiac cine magnetic resonance imaging International conference

    Kawakubo M, Fukushima K, Nakao R, Watanabe E, Shimomiya Y, Goto Y, Tadenuma H, Yoneyama M, Nagao M

    ISMRM 26th Annual Meeting & Exhibition  2018.6 

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    Event date： 2018.6

    Language：English   Presentation type：Oral presentation (general)  

    Country：France  

  • シネMRI Vortex Flow Mapを用いた左室内渦流の幾何学的特徴と効率的駆出の関連

    河窪 正照, 福島　賢慈, 中尾　梨沙子, 下宮　大和, 後藤　康裕, 蓼沼　仁, 米山　正巳, 長尾　充展

    第82回日本循環器学会学術集会  2018.3 

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    Event date： 2018.3

    Language：Japanese  

    Venue：リーガロイヤルホテル（大阪）   Country：Japan  

  • Geometrical Vortex Flow in Left Ventricle Associates with Efficient Ejection: Analysis of a Novel Vortex Flow Map of 2D Cine MRI

    Kawakubo M, Fukushima K, Nakao R, Shimomiya Y, Goto Y, Tadenuma H, Yoneyama M, Morishita J, Nagao M

    The 45th Annual Meeting of Japanese Society of Magnetic Resonance in Medicine  2017.9 

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    Event date： 2017.9

    Language：English  

    Country：Japan  

  • Three-dimensional Bi-ventricular Myocardial Feature Tracking for Congenital Heart Disease Using Standard Cardiac Cine MRI with Interpolation Technique Based on Moving Gradients International conference

    Kawakubo M, Yamasaki Y, Akamine H, Nagao M

    ISMRM 25th Annual Meeting & Exhibition  2017.4 

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    Event date： 2017.4

    Language：English  

    Country：Japan  

  • 動き勾配のパスに基づくシネ MR画像の時間的および空間的な補間による4次元の心臓MRイメージング

    河窪 正照, 山崎　誘三, 杜下　淳次, 長尾　充展

    第73回日本放射線技術学会総会学術大会  2017.4 

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    Event date： 2017.4

    Language：Japanese  

    Venue：横浜市   Country：Japan  

  • Biventricular Strain and Torsion in Adults with Corrected Transposition of the Great Arteries Analyzed by Feature Tracking Cine MRI International conference

    Kawakubo M, Yamasaki Y, Sakamoto I, Yamamura K, Nagao M

    The 102nd Scientific Assembly & Annual Meeting of the RSNA  2016.11 

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    Event date： 2016.11 - 2016.12

    Language：English  

    Country：Japan  

  • Feature Tracking Cine MRIによる心室の捻れ運動の評価

    河窪 正照, 山崎　誘三, 杜下　淳次, 長尾　充展

    第44回日本磁気共鳴医学会大会  2016.9 

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    Event date： 2016.9

    Language：Japanese  

    Venue：さいたま市   Country：Japan  

  • Semi-automatic Cardiac Longitudinal Strain Analysis Using Four-chamber Cine MR Imaging: Correlation with Left Ventricular Dysfunction International conference

    Kawakubo M, Nagao M, Kumazawa S, Yonezawa M, Yamasaki Y, Honda H, Chishaki AS, Nakamura Y, Morishita J

    The 100th Scientific Assembly & Annual Meeting of the RSNA  2014.12 

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    Event date： 2014.11 - 2014.12

    Language：English  

    Country：Japan  

  • Evaluation of Cardiac Mechanical Dyssynchrony with Longitudinal Strain Analysis in 4-chamber Cine Magnetic Resonance Imaging International conference

    Kawakubo M, Nagao M, Kumazawa S, Chishaki AS, Honda H, Morishita J

    ISMRM 20th Annual Meeting & Exhibition  2012.5 

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    Event date： 2012.5

    Language：English  

    Country：Japan  

  • Evaluation of Cardiac Mechanical Dyssynchrony Using 4-chamber Cine Magnetic Resonance Imaging: Assessment of Chronic Heart Failure International conference

    Kawakubo M, Nagao M, Kumazawa S, Chishaki AS, Honda H, Morishita J

    European Congress of Radiology  2012.3 

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    Event date： 2012.3

    Language：English  

    Country：Japan  

  • 胸部エックス線画像のディープラーニングによる外科手術に伴う体内異物遺残検出システムの開発

    河窪 正照、脇 大登、白坂 崇、小島 宰、三賀山 諒司、濱崎 洋志、赤嶺 寛地、加藤 豊幸

    第16回 九州放射線医療技術学術大会  2021.12 

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    Event date： 2021.12

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：佐賀市文化会館（佐賀市）   Country：Japan  

  • アンモニア PET 心筋ストレインによる冠動脈疾患の壁運動評価

    長尾充展、河窪正照、他

    第31回 日本心臓核医学会総会・学術大会  2021.6 

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    Event date： 2021.6

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：Web開催   Country：Japan  

  • ビームハードニング効果がDual energy CTにおけるヨードの定量性に及ぼす影響

    金谷 梨沙、白坂 崇、小島 宰、加藤 豊幸、河窪 正照

    第14回 九州放射線医療技術学術大会  2019.11 

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    Event date： 2019.11

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：熊本城ホール（熊本市）   Country：Japan  

  • Dual energy CTにおける仮想単色X線画像のコントラスト：異なる連続X線エネルギーの組み合わせによる比較

    高橋尚充, 白坂崇, 小島宰, 江口葵, 加藤豊幸, 河窪正照

    第13回九州放射線医療技術学術大会  2018.11 

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    Event date： 2018.11

    Language：Japanese  

    Venue：沖縄県男女共同参画センターてぃるる   Country：Japan  

  • Dual energy CTによる仮想単色画像の空間分解能

    江口葵, 白坂崇, 小島宰, 高橋尚充, 加藤豊幸, 河窪正照

    第13回九州放射線医療技術学術大会  2018.11 

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    Event date： 2018.11

    Language：Japanese  

    Venue：沖縄県男女共同参画センターてぃるる   Country：Japan  

  • 虚血再灌流治療後の心筋内出血に対する息止め3次元T1強調像：1心拍法と2心拍法のコントラストの比較

    新井英雄, 河窪正照, 江口麻理, 讃井憲一, 西村浩, 門上俊明

    第46回日本磁気共鳴医学会大会  2018.9 

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    Event date： 2018.9

    Language：Japanese  

    Venue：ホテル日航金沢/金沢市アートホール   Country：Japan  

  • Delay Timeの最適化によるMRIの収縮期心筋T1 mapping

    新井　英雄, 河窪　正照, 讃井　憲一, 西村　浩, 門上　俊明

    第82回日本循環器学会学術集会  2018.3 

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    Event date： 2018.3

    Language：Japanese  

    Venue：大阪国際会議場   Country：Japan  

  • 収集時間の最適化によるMRIの収縮期心筋T1 mapping

    新井 英雄， 河窪 正照, 讃井 憲一, 西村 浩, 門上 俊明

    2018.1 

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    Event date： 2018.1

    Language：Japanese  

    Venue：アクロス福岡   Country：Japan  

  • スライス補間を用いたシネMR画像による心室内腔容量の計測

    野崎 航平, 河窪 正照, 新井 英雄, 村岡 里奈, 田中 延和, 讃井 憲一, 西村 浩

    第12回九州放射線医療技術学術大会  2017.11 

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    Event date： 2017.11

    Language：Japanese  

    Venue：宝山ホール   Country：Japan  

  • 乳腺超音波エラストグラフィの撮像手技が乳房ファントムの模擬腫瘍の歪み比に及ぼす影響

    村岡 里奈, 田中 延和, 野崎 航平, 河窪 正照

    第12回九州放射線医療技術学術大会  2017.11 

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    Event date： 2017.11

    Language：Japanese  

    Venue：宝山ホール   Country：Japan  

  • 胸部エックス線画像の深層学習による外科手術に伴う体内遺残物検出システムの開発

    河窪 正照, 脇 大登, 白坂 崇, 小島 宰, 三賀山 諒司, 濱崎 洋志, 加藤 豊幸

    日本放射線技術学会総会学術大会予稿集  2022.3  (公社)日本放射線技術学会

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    Language：Japanese  

  • 胸部X線画像の深層学習モデルによる体内手術遺残物の検出特性

    河窪 正照, 脇 大登, 白坂 崇, 小島 宰, 三賀山 諒司, 濱崎 洋志, 赤嶺 寛地, 加藤 豊幸

    JART: 日本診療放射線技師会誌  2022.9  (公社)日本診療放射線技師会

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    Language：Japanese  

  • 肺高血圧症の診断と治療における放射線診療の役割　心臓MRIを用いた肺高血圧症における右室リモデリング評価

    河窪 正照, 山崎 誘三, 阿部 弘太郎, 細川 和也, 長尾 充展, 新井 英雄, 門上 俊明

    日本循環器学会学術集会抄録集  2022.3  (一社)日本循環器学会

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    Language：Japanese  

  • 深層学習を用いた仮想PET生成技術によるSPECT心筋シンチグラフィの光子減衰補正

    河窪 正照, 長尾 充展, 中尾 梨沙子, 貝本 葉子, 山本 篤志, 川崎 洋, 松尾 有香, 金子 恒一郎, 坂井 晶子, 坂井 修二

    日本心臓核医学会ニュースレター  2023.5  日本心臓核医学会

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  • 心電図同期FDG-PETの位相解析による心サルコイドーシス活動性病変の評価

    筒井 悠治, 河窪 正照, 貝本 葉子, 山本 篤志, 金子 恒一郎, 長尾 充展

    日本心臓核医学会ニュースレター  2023.5  日本心臓核医学会

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  • 心筋負荷Ammonia PETで得られる右室ストレインによる心血管イベントの予測

    山本 篤志, 長尾 充展, 河窪 正照, 安藤 聖恵, 中尾 梨沙子, 松尾 有香, 坂井 晶子, 百瀬 満, 金子 恒一郎, 坂井 修二

    日本心臓核医学会ニュースレター  2022.5  日本心臓核医学会

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  • 心筋血流PET Strainによる虚血重症度評価　PETMRを用いたMR strainとの比較検討

    福島 賢慈, 片平 正隆, 遠藤 圭一郎, 河窪 正照, 山本 篤志, 石井 士朗, 八巻 尚洋, 長尾 充展, 伊藤 浩, 竹石 恭知

    日本心臓核医学会ニュースレター  2024.5  日本心臓核医学会

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  • 心筋Ammonia PETから得られる左室ストレインによる冠動脈バイパスグラフト術前後の評価

    山本 篤志, 長尾 充展, 西嶋 修平, 河窪 正照, 中尾 梨沙子, 市原 有起, 金子 恒一郎, 山口 淳一, 新浪 博, 坂井 修二

    日本心臓核医学会ニュースレター  2023.5  日本心臓核医学会

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    Language：Japanese  

  • 半導体SPECT,PET装置を用いた心臓核医学　心筋PET検査による両心室心筋ストレイン解析とAI深層学習によるSPECTへの応用

    山本 篤志, 長尾 充展, 河窪 正照, 中尾 梨沙子, 松尾 有香, 坂井 晶子, 百瀬 満, 金子 恒一郎, 福島 賢慈, 山口 淳一, 坂井 修二

    核医学  2023  (一社)日本核医学会

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  • 半導体PET/CTにおける心筋FDGの定量精度　17セグメントモデルファントムを用いた従来型PET/CTとの比較

    貝本 葉子, 山本 篤志, 金子 恒一郎, 筒井 悠治, 河窪 正照, 浅沼 雅康, 青葉 薫, 福島 賢慈, 千田 浩一, 長尾 充展

    核医学技術  2022.8  (NPO)日本核医学技術学会

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  • 半導体NH3-PETで測定した心筋血流予備能と右室ストレインを用いた冠動脈疾患のリスク層別化(Risk Stratification in Coronary Artery Disease Using Myocardial Flow Reserve and Right Ventricular Strain Derived from Semiconductor NH3-PET)

    山本 篤志, 長尾 充展, 河窪 正照, 安藤 聖恵, 中尾 梨沙子, 坂井 晶子, 百瀬 満, 福島 賢慈, 坂井 修二, 山口 淳一

    日本循環器学会学術集会抄録集  2023.3  (一社)日本循環器学会

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  • 人工知能で彩る循環器画像領域の展望(SPECT-to-PET Image Translation Model Based on Deep Learning to Improve the Diagnostic Accuracy of SPECT for Myocardial Ischemia and INOCA)

    中尾 梨沙子, 長尾 充展, 河窪 正照, 山本 篤志, 今門 理紗, 坂井 晶子, 百瀬 満, 坂井 修二, 山口 淳一

    日本循環器学会学術集会抄録集  2024.3  (一社)日本循環器学会

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  • マルチモダリティを用いた右室機能評価Update　心臓MRIとPETから得られた右室心筋ストレイン(Right Ventricular Myocardial Strain Derived from Cardiac Magnetic Resonance Imaging and Positron Emission Tomography)

    河窪 正照, 山崎 誘三, 長尾 充展, 阿部 弘太郎, 細川 和也, 永田 弾, 山村 健一郎, 豊村 大亮, 山本 篤志, 新井 英雄, 門上 俊明

    日本循環器学会学術集会抄録集  2023.3  (一社)日本循環器学会

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  • ペア画像からのマルチモーダル学習　DEXA画像と一般X線画像を用いた超高解像度モデルの実現可能性の検討(Multi-modal learning from paired images: Feasibility study for super high-resolution model using DEXA and general radiographic images)

    Jo Hyejin, Kim Yeji, Yang Wonseok, Kawakubo Masateru, Yoon Yongsu

    日本放射線技術学会総会学術大会予稿集  2024.3  (公社)日本放射線技術学会

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  • アンモニアPET心筋エネルギーによる心血管イベント予測

    山本 篤志, 長尾 充展, 河窪 正照, 安藤 聖恵, 中尾 梨沙子, 坂井 晶子, 百瀬 満, 金子 恒一郎, 萩原 誠久, 坂井 修二

    核医学  2022.8  (一社)日本核医学会

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  • アンモニアPETで推定した心筋エネルギー　冠動脈疾患に対する新たな戦略(Myocardial Energy Estimated by Ammonia PET: New Strategy for Coronary Artery Disease)

    山本 篤志, 長尾 充展, 河窪 正照, 安藤 聖恵, 中尾 梨沙子, 坂井 晶子, 百瀬 満, 福島 賢慈, 坂井 修二, 萩原 誠久

    日本循環器学会学術集会抄録集  2022.3  (一社)日本循環器学会

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  • Validation of Novel Endocardial Wall Strain Assessed by PET Feature Tracking: Comparison with CMR Strain Using Integrated PETMR System(タイトル和訳中)

    Katahira Masataka, Fukushima Kenji, Ishii Sachika, Endo Keiichiro, Kawakubo Masateru, Kiko Takatoyo, Shimizu Takeshi, Nagao Michinobu, Yamaki Takayoshi, Takeishi Yasuchika

    日本循環器学会学術集会抄録集  2024.3  (一社)日本循環器学会

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  • Hybrid PETMRを用いたアンモニアPET Feature Trackingによる心内膜ストレインの臨床的有用性の検討

    片平 正隆, 喜古 崇豊, 福島 賢慈, 遠藤 圭一郎, 河窪 正照, 山國 遼, 右近 直之, 長尾 充展, 伊藤 浩, 竹石 恭知

    日本心臓核医学会ニュースレター  2023.5  日本心臓核医学会

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    Language：Japanese  

  • AIが変える循環器領域　SPECTとPETデータセットのディープラーニングから作製された仮想心筋PET　SPECTアーチファクト補正の可能性(Virtual Myocardial PET Created from Deep Learning of SPECT and PET Datasets: Potential for SPECT Artifact Correction)

    中尾 梨沙子, 長尾 充展, 河窪 正照, 山本 篤志, 百瀬 満, 坂井 晶子, 坂井 修二, 山口 淳一

    日本循環器学会学術集会抄録集  2023.3  (一社)日本循環器学会

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  • 3次元MR neurographyによる腰神経分岐角度と腰痛危険因子との関連

    坂田 聡, 新井 英雄, 河窪 正照, 江口 麻理, 浦川 ひとみ, 讃井 憲一, 西村 浩

    日本放射線技術学会総会学術大会予稿集  2024.3  (公社)日本放射線技術学会

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  • 13N-Ammonia PETを用いた安静時右室長軸ストレイン解析(rest RV-LS)の正確性に関する検討

    福山 緑, 立石 恵実, 濃野 祥史, 寺川 裕介, 喜田 真一郎, 河窪 正照, 長尾 充展, 太田 靖利, 福田 哲也

    核医学  2023  (一社)日本核医学会

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MISC

  • Dynamic chest radiography for pulmonary vascular diseases: clinical applications and correlation with other imaging modalities Reviewed

    Yamasaki Y, Kamitani T, Sagiyama K, Hino T, Kisanuki M, Tabata K, Isoda T, Kitamura Y, Abe K, Hosokawa K, Toyomura D, Moriyama S, Kawakubo M, Yabuuchi H, Ishigami K.

    Japanese Journal of Radiology   2023.8

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    Language：English   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)  

    DOI： doi: 10.1007/s11604-023-01483-2

    Repository Public URL： https://hdl.handle.net/2324/7153589

  • Editorial for: "Image-Based Biological Heart Age Estimation Reveals Differential Aging Patterns Across cardiac chambers" Reviewed

    Arai H, Kawakubo M, Kadokami T

    J Magn Reson Imaging   2023.3

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    Language：English   Publishing type：Book review, literature introduction, etc.  

    DOI： doi: 10.1002/jmri.28687

  • 第78回日本放射線技術学会総会学術大会表彰Cypos賞銅賞を受賞して

    河窪正照

    公益社団法人日本放射線技術学会九州支部会誌   2023.1

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    Language：Japanese  

  • 第78回日本放射線技術学会総会学術大会表彰Cypos賞銅賞を受賞して

    河窪正照

    2023.1

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    Language：Japanese   Publisher：公益社団法人日本放射線技術学会九州支部会誌  

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  • Editorial for: "First-Pass Myocardial Perfusion With Increased Anatomic Coverage at 3T Using Autocalibrated Multiband Imaging" Reviewed

    Arai H, Kawakubo M, Kadokami T

    J Magn Reson Imaging   2022.4

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    Language：English   Publishing type：Book review, literature introduction, etc.  

    DOI： doi: 10.1002/jmri.28213

  • 第10回学会賞技術部門賞を受賞して

    河窪正照

    日本心臓核医学会誌 Vol.24-1   2022.3

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    Language：Japanese   Publisher：日本心臓核医学会誌 Vol.24-1  

    DOI： 10.14951/jsnc.24.01.25

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  • Editorial for: "Right/Left Ventricular Blood Pool T2 Ratio as an Innovative Cardiac MRI Screening Tool for the Identification of Left-to-Right Shunts in Patients with Right Ventricular Disease" Reviewed

    Arai H, Kawakubo M, Kadokami T

    J Magn Reson Imaging   2021.8

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    Language：English   Publishing type：Book review, literature introduction, etc.  

    DOI： doi: 10.1002/jmri.27880

  • 先天性心疾患を有する小児・成人における心臓血管核磁気共鳴のためのガイドラインとプロトコール：先天性心疾患のSCMRエキスパートコンセンサス

    長尾 充展、高橋 辰徳、椎名 由美、山崎 誘三、河窪 正照

    2018.12

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    Language：Japanese  

    Other Link： https://scmr.org/page/TranslatedPapers

  • 領域別最新動向：CT & MRIの技術と臨床を中心に：循環器（心臓MRIを中心に）

    河窪 正照

    月刊インナービジョン2017年2月号   2017.2

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    Language：Japanese   Publishing type：Internal/External technical report, pre-print, etc.  

  • MRIの最新動向

    河窪 正照

    月刊インナービジョン2017年2月号   2017.2

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    Language：Japanese   Publishing type：Internal/External technical report, pre-print, etc.  

  • 肺血管疾患の胸部X線動態撮影　臨床応用と各種画像モダリティとの相関性(Dynamic chest radiography for pulmonary vascular diseases: clinical applications and correlation with other imaging modalities)

    Yamasaki Yuzo, Kamitani Takeshi, Sagiyama Koji, Hino Takuya, Kisanuki Megumi, Tabata Kosuke, Isoda Takuro, Kitamura Yoshiyuki, Abe Kohtaro, Hosokawa Kazuya, Toyomura Daisuke, Moriyama Shohei, Kawakubo Masateru, Yabuuchi Hidetake, Ishigami Kousei

    Japanese Journal of Radiology   42 ( 2 )   126 - 144   2024.2   （ ISSN:1867-1071 ）

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    Language：English   Publisher：(公社)日本医学放射線学会  

  • Right Ventricular Myocardial Strain Derived from Cardiac Magnetic Resonance Imaging and Positron Emission Tomography

    河窪正照, 山崎誘三, 長尾充展, 阿部弘太郎, 細川和也, 永田弾, 山村健一郎, 豊村大亮, 山本篤志, 新井英雄, 門上俊明

    日本循環器学会学術集会(Web)   87th   2023

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  • 胸部X線画像の深層学習モデルによる体内手術遺残物の検出特性

    河窪正照, 脇大登, 白坂崇, 白坂崇, 小島宰, 小島宰, 三賀山諒司, 濱崎洋志, 濱崎洋志, 赤嶺寛地, 赤嶺寛地, 加藤豊幸

    日本診療放射線技師会誌   69 ( 9 )   2022   （ ISSN:2187-2538 ）

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  • 心臓MRIを用いた肺高血圧症における右室リモデリング評価

    河窪正照, 山崎誘三, 阿部弘太郎, 細川和也, 長尾充展, 新井英雄, 門上俊明

    日本循環器学会学術集会(Web)   86th   2022

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Industrial property rights

Patent   Number of applications: 7   Number of registrations: 1
Utility model   Number of applications: 0   Number of registrations: 0
Design   Number of applications: 0   Number of registrations: 0
Trademark   Number of applications: 0   Number of registrations: 0

Professional Memberships

  • The Japanese Association of Radiological Technologist (JART)

  • Japanese Society of Radiological Technology (JSRT)

  • Japanese Society for Adult Congenital Heart Disease (JSACHD)

  • Japanese Society for Magnetic Resonance in Medicine (JSMRM)

  • The Japanese Circulation Society (JCS)

  • Japanese Society of Nuclear Cardiology (JSNC)

  • American Society of Nuclear Cardiology

  • The Japanese Association of Radiological Technologist (JART)

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  • American Society of Nuclear Cardiology

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  • The Japanese Circulation Society

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  • THE JAPAN ASSOCIATION OF RADIOLOGICAL TECHNOLOGISTS

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  • JAPANESE SOCIETY FOR MAGNETIC RESONANCE IN MEDICINE

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  • JAPANESE SOCIETY OF RADIOLOGICAL TECHNOLOGY

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  • Japanese Society of Adult Congenital Heart Disease

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  • Japanese Society of Nuclear Cardiology (JSNC)

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Committee Memberships

  • 九州大学   施設・環境委員会  

    2023.4 - 2024.3   

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    Committee type：Other

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  • 九州大学   百人部会  

    2023.4 - 2024.3   

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    Committee type：Other

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  • 日本放射線技術学会   代議員   Domestic

    2023.3 - 2025.2   

  • 日本放射線技術学会   代議員  

    2023.3 - 2025.2   

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  • Korean Society of Radiological Science (KSRS)   Editor of the Journal of Radiological Science and Technology   Foreign country

    2023.1 - 2025.12   

  • Korean Society of Radiological Science (KSRS)   Editor of the Journal of Radiological Science and Technology  

    2023.1 - 2025.12   

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  • 九州大学   FD委員会  

    2022.4 - 2023.3   

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    Committee type：Other

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  • 九州大学   地域国際連携推進委員会  

    2022.4 - 2023.3   

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    Committee type：Other

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  • 九州大学   FD委員会  

    2021.4 - 2023.3   

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    Committee type：Other

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  • 九州大学   地域国際連携推進委員会  

    2021.4 - 2023.3   

    　 More details

    Committee type：Other

    researchmap

  • 日本放射線技術学会   計測部会 診断領域線量計標準センター   Domestic

    2017.4 - 2023.2   

  • 日本放射線技術学会   計測部会 診断領域線量計標準センター  

    2017.4 - 2023.2   

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  • Councilor   Domestic

    2015.6 - 2017.3   

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Academic Activities

  • 第34回日本心臓核医学会総会・学術大会

    （ 埼玉 Japan ） 2024.6

    　More details

    Type：Competition, symposium, etc. 

    researchmap

  • Symposiast International contribution

    Symposium on Intelligent Data Science for Radiological Imaging (iDSRI) between Universiti Malaya and Kyushu University  （ Webinar Japan ） 2022.9

    　More details

    Type：Competition, symposium, etc. 

    Number of participants：60

  • Symposium on Intelligent Data Science for Radiological Imaging (iDSRI) between Universiti Malaya and Kyushu University International contribution

    （ Webinar Japan ） 2022.9

    　More details

    Type：Competition, symposium, etc. 

    researchmap

  • Screening of academic papers

    Role(s)： Peer review

    2022

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    Type：Peer review 

    Number of peer-reviewed articles in foreign language journals：16

  • Chair person International contribution

    Symposium on Intelligent Data Science for Radiological Imaging between UM and KU  （ Webinar Japan ） 2021.9

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    Type：Competition, symposium, etc. 

    Number of participants：60

  • Screening of academic papers

    Role(s)： Peer review

    2021

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    Type：Peer review 

    Number of peer-reviewed articles in foreign language journals：6

  • 座長(Chairmanship)

    2019年度第1回新ニーズに対応する九州がんプロ養成プラン 先端医用量子線技術科学コース講演会  （ 九州大学（福岡市） ） 2020.1

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    Type：Competition, symposium, etc. 

    Number of participants：40

  • Screening of academic papers

    Role(s)： Peer review

    2020

    　More details

    Type：Peer review 

    Number of peer-reviewed articles in foreign language journals：3

  • Screening of academic papers

    Role(s)： Peer review

    2018

    　More details

    Type：Peer review 

    Number of peer-reviewed articles in Japanese journals：1

  • 座長（Chairmanship）

    MR研究会  （ アクロス福岡（福岡市） ） 2017.1

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    Type：Competition, symposium, etc. 

    Number of participants：100

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Research Projects

  • Simultaneous quantification of myocardial flow and function reserve with nuclear cardiology for the diagnosis of INOCA

    Grant number：24K10863  2024.4 - 2027.3

    Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

    　 More details

    Grant type：Scientific research funding

    CiNii Research

  • 心筋の血流と運動の予備能を同時評価する分子画像解析の開発と冠微小循環障害への応用

    2024 - 2026

    日本学術振興会  科学研究費助成事業  基盤研究(C)

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    Authorship：Principal investigator  Grant type：Scientific research funding

  • 【加速フェーズ】同一者の血流情報に基づく心筋の虚血診断補助システム

    2024

    戦略的創造研究推進事業 (文部科学省)

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    Authorship：Principal investigator  Grant type：Contract research

  • 心筋血流シンチグラフィの深層学習による右室心筋運動予備能推定法の開発

    2024

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    Grant type：Donation

  • 胸部X線動態撮影と人工知能を組み合わせた全自動式肺塞栓症診断システムの開発

    Grant number：23K07111  2023.4 - 2027.3

    科学研究費助成事業  基盤研究(C)

    山崎 誘三, 神谷 武志, 鷺山 幸二, 日野 卓也, 藪内 英剛, 石神 康生, 河窪 正照, 阿部 弘太郎, 細川 和也

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    Grant type：Scientific research funding

    急性肺塞栓症は時に致死的になる重篤な疾患である。 造影CTや肺血流シンチグラフィによる早期診断が必要であるが、造影剤、被曝などの問題点も存在する。胸部X線動態撮影は、造影剤や放射性同位元素を用いる ことなく、単純X線撮影システムを用いて、肺血流情報を得ることができる最新の検査技術である。本研究では、胸部X線動態撮影を肺塞栓症診断補助装置として確立し、さらに胸部X線動態撮影と人工知能を組み合わせた全自動式の肺塞栓症診断システムの開発を目指す。

    CiNii Research

  • 半導体心筋分子イメージング解析による右室心筋血流の定量法開発のための後方視的臨床研究

    2023

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    Grant type：Donation

  • 戦略的創造研究推進事業 ACT-X AI活用で挑む学問の革新と創成

    2021.10 - 2024.3

    日本 

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    Authorship：Principal investigator 

    AI（人工知能）をはじめとする情報科学技術の急速な発展と普及により、様々な研究分野で新たな手法構築や格段の性能向上、対象範囲拡大等が進み、さらには革新的な課題設定や枠組み、新たな学問領域創成の可能性も見えつつあります。
    　このような、あらゆる学問の革新・創成の機会を活かし、進歩を先導し、将来のイノベーション創出につなげていくためには、各々の学問分野の極めて優秀で先進的な頭脳が柔軟な発想で、AI等の情報科学技術の活用やそれらとの学融合によって新たに拓ける世界を予見し、描き、開拓していくことが不可欠です。本研究領域では、理工系や人文社会系を含むあらゆる学問分野に最先端のAI等の情報科学技術を取り込むことで格段に強化・発展させることや、AI等の情報科学技術との融合による学問分野の革新や新たな学問領域の創成、新しい価値の創造などを目指す若手研究者による挑戦的な研究構想を求めます。
    　研究推進においては、人材育成の観点を重視し異分野の若手研究者同士が交流し相互に触発する場を設けることで、未来に貢献する先端研究を推進する研究人材の育成や、将来の連携につながる研究者の人的ネットワークの構築をはかります。なお、本研究領域は文部科学省の人工知能/ビッグデータ/IoT/サイバーセキュリティ統合プロジェクト（AIPプロジェクト）を構成する「AIPネットワークラボ」の一環として運営していきます。

  • 同一者の血流情報に基づく心筋の虚血診断補助システム

    2021 - 2023

    戦略的創造研究推進事業 (文部科学省)

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    Authorship：Principal investigator  Grant type：Contract research

  • 肺高血圧症の右心室リモデリングに対する治療戦略決定のための全自動画像解析

    2020.4 - 2022.3

    個人研究

    　 More details

    Authorship：Principal investigator  Grant type：Other funds from industry-academia collaboration

  • Prediction of the response to CRT with cine MRI for the patients with systemic right ventricular remodeling

    Grant number：20K16729  2020 - 2022

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Early-Career Scientists

    Kawakubo Masateru

    　 More details

    Authorship：Principal investigator  Grant type：Scientific research funding

    The purpose of this study was to establish the usefulness of systemic circulation right ventricular remodeling analysis using magnetic resonance imaging (MRI) in predicting CRT effects. We have developed computer image analysis methods to achieve our goals, and have applied these methods to clinical research.
    As a result, we have filed a patent application for a method that automatically reconstructs radially long-axis cine MRI from general short-axis images and automatically calculates right ventricular volume and three-dimensional strain. Furthermore, this technology has been packaged as software that operates in a general-purpose computer language, making it widely applicable. A clinical study applying this technology was published in an international journal.

    CiNii Research

  • 低線量胸部動態X線画像を用いた呼吸器、循環器疾患の病態解明および臨床的意義の検討

    2020

    　 More details

    Grant type：Donation

  • コメディカル臨床研究助成

    2019

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    Grant type：Donation

  • 畳み込みニューラルネットワークによる心臓の磁気共鳴動画像の呼吸ぶれ補正法の開発

    2019

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    Grant type：Donation

  • Influence of beam-hardening in dual-energy CT imaging: A phantom study for iodine map, virtual monoenergetic images, and virtual non-contrast images

    2019

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    Authorship：Principal investigator  Grant type：On-campus funds, funds, etc.

  • メディカルスタッフ研究助成/磁気共鳴画像を用いた心筋虚血再灌流傷害の非侵襲的診断法の確立

    2018

    　 More details

    Grant type：Donation

  • Right ventricular area strain measured with routine cine MRI after balloon pulmonary angioplasty in chronic thromboembolic pulmonary hypertension: Comparison with 2-dimensional feature-tracking MRI

    2018

    　 More details

    Authorship：Principal investigator  Grant type：On-campus funds, funds, etc.

  • Deep learningによる画像認識を応用した成人先天性心疾患の重症度自動診断システムの構築

    2018

    数理・データサイエンスに関する教育・研究支援プログラム

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    Authorship：Principal investigator  Grant type：On-campus funds, funds, etc.

  • 2017年度ISMRM Travel Award/Vortex Flow in Left Ventricle Interrupts Efficient Ejection: Demonstration by Vortex Flow Map of Cardiac Cine Magnetic Resonance Imaging

    2017

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    Grant type：Donation

  • 3次元の心臓ストレイン解析法の開発と修正大血管転位の予後予測への応用

    Grant number：16K19860  2016 - 2019

    科学研究費助成事業  若手研究(B)

    　 More details

    Authorship：Principal investigator  Grant type：Scientific research funding

▼display all

Class subject

  • 臨床解剖薬理学

    2023.12 - 2024.2   Winter quarter

  • 品質管理論

    2023.10 - 2024.3   Second semester

  • 放射線治療技術学実習

    2023.10 - 2024.3   Second semester

  • 放射線画像技術学実習

    2023.10 - 2024.3   Second semester

  • 放射線技術科学入門Ⅱ

    2023.10 - 2024.3   Second semester

  • International Society and Multidisciplinary Care

    2023.4 - 2023.9   First semester

  • 国際社会とチーム医療

    2023.4 - 2023.9   First semester

  • 生理機能検査学Ⅲ

    2023.4 - 2023.9   First semester

  • 生理機能検査学Ⅱ

    2023.4 - 2023.9   First semester

  • 生理機能検査学Ⅰ

    2023.4 - 2023.9   First semester

  • 臨床解剖薬理学

    2022.12 - 2023.2   Winter quarter

  • 臨床解剖薬理学

    2022.12 - 2023.2   Winter quarter

  • 画像解剖学演習

    2022.10 - 2023.3   Second semester

  • 放射線画像技術学実習

    2022.10 - 2023.3   Second semester

  • 放射線治療技術学実習

    2022.10 - 2023.3   Second semester

  • 品質管理論

    2022.10 - 2023.3   Second semester

  • 品質管理論

    2022.10 - 2023.3   Second semester

  • 放射線治療技術学実習

    2022.10 - 2023.3   Second semester

  • 放射線画像技術学実習

    2022.10 - 2023.3   Second semester

  • 画像解剖学演習

    2022.10 - 2023.3   Second semester

  • 基礎医療統計

    2022.6 - 2022.8   Summer quarter

  • 医用画像情報学実習

    2022.6 - 2022.8   Summer quarter

  • 医用画像情報学実習

    2022.6 - 2022.8   Summer quarter

  • 基礎医療統計

    2022.6 - 2022.8   Summer quarter

  • 臨地実習

    2022.4 - 2023.3   Full year

  • 臨地実習

    2022.4 - 2023.3   Full year

  • 卒業研究

    2022.4 - 2023.3   Full year

  • 卒業研究

    2022.4 - 2023.3   Full year

  • 放射線技術科学入門Ⅰ

    2022.4 - 2022.9   First semester

  • 放射線治療・核医学機器学

    2022.4 - 2022.9   First semester

  • 国際社会とチーム医療

    2022.4 - 2022.9   First semester

  • International Society and Multidisciplinary Care

    2022.4 - 2022.9   First semester

  • International Society and Multidisciplinary Care

    2022.4 - 2022.9   First semester

  • 国際社会とチーム医療

    2022.4 - 2022.9   First semester

  • 放射線治療・核医学機器学

    2022.4 - 2022.9   First semester

  • 放射線技術科学入門Ⅰ

    2022.4 - 2022.9   First semester

  • 放射線管理学実験

    2022.4 - 2022.6   Spring quarter

  • 放射線管理学実験

    2022.4 - 2022.6   Spring quarter

  • 臨床解剖薬理学

    2021.12 - 2022.2   Winter quarter

  • 画像解剖学演習

    2021.10 - 2022.3   Second semester

  • 放射線画像技術学実習

    2021.10 - 2022.3   Second semester

  • 放射線治療技術学実習

    2021.10 - 2022.3   Second semester

  • 品質管理論

    2021.10 - 2022.3   Second semester

  • 基礎医療統計

    2021.6 - 2021.8   Summer quarter

  • 医用画像情報学実習

    2021.6 - 2021.8   Summer quarter

  • 放射線技術科学入門Ⅰ

    2021.4 - 2021.9   First semester

  • 放射線治療・核医学機器学

    2021.4 - 2021.9   First semester

  • 国際社会とチーム医療

    2021.4 - 2021.9   First semester

  • International Society and Multidisciplinary Care

    2021.4 - 2021.9   First semester

  • 放射線管理学実験

    2021.4 - 2021.6   Spring quarter

  • 臨床解剖薬理学

    2020.12 - 2021.2   Winter quarter

  • 放射線技術科学入門Ⅱ

    2020.10 - 2021.3   Second semester

  • 画像解剖学演習

    2020.10 - 2021.3   Second semester

  • 放射線画像技術学実習

    2020.10 - 2021.3   Second semester

  • 放射線治療技術学実習

    2020.10 - 2021.3   Second semester

  • 品質管理論

    2020.10 - 2021.3   Second semester

  • 医用画像科学論

    2020.10 - 2021.3   Second semester

  • Medical Image Sciences

    2020.10 - 2021.3   Second semester

  • コンピュータプログラミング入門

    2020.10 - 2020.12   Fall quarter

  • 基礎医療統計

    2020.6 - 2020.8   Summer quarter

  • 卒業研究

    2020.4 - 2021.3   Full year

  • 臨地実習

    2020.4 - 2021.3   Full year

  • 放射線治療・核医学機器学

    2020.4 - 2020.9   First semester

  • 国際社会とチーム医療

    2020.4 - 2020.9   First semester

  • 放射線管理学実験

    2020.4 - 2020.6   Spring quarter

  • 臨床解剖薬理学

    2019.12 - 2020.2   Winter quarter

  • 画像解剖学演習

    2019.10 - 2020.3   Second semester

  • 放射線画像技術学実習

    2019.10 - 2020.3   Second semester

  • 放射線治療技術学実習

    2019.10 - 2020.3   Second semester

  • 品質管理論

    2019.10 - 2020.3   Second semester

  • Medical Image Sciences

    2019.10 - 2020.3   Second semester

  • コンピュータプログラミング入門

    2019.10 - 2019.12   Fall quarter

  • 基礎医療統計

    2019.6 - 2019.8   Summer quarter

  • 放射線画像技術学実習

    2019.6 - 2019.8   Summer quarter

  • 基礎医療統計

    2019.6 - 2019.8   Summer quarter

  • 放射線画像技術学Ⅰ

    2019.4 - 2019.9   First semester

  • 放射線治療・核医学機器学

    2019.4 - 2019.9   First semester

  • 国際社会とチーム医療

    2019.4 - 2019.9   First semester

  • 放射線治療・核医学検査機器学

    2019.4 - 2019.9   First semester

  • 放射線技術科学入門Ⅰ

    2019.4 - 2019.9   First semester

  • 放射線管理学実験

    2019.4 - 2019.9   First semester

  • 放射線画像技術学Ⅰ

    2019.4 - 2019.9   First semester

  • 生理機能検査学

    2019.4 - 2019.9   First semester

  • 国際社会とチーム医療

    2019.4 - 2019.9   First semester

  • X線CT画像技術学

    2019.4 - 2019.6   Spring quarter

  • Ｘ線ＣＴ画像技術学

    2019.4 - 2019.6   Spring quarter

  • 放射線管理学実験

    2019.4 - 2019.6   Spring quarter

  • 医用画像科学論

    2018.10 - 2019.3   Second semester

  • 放射線技術科学入門Ⅱ

    2018.10 - 2019.3   Second semester

  • 品質管理論

    2018.10 - 2019.3   Second semester

  • 画像解剖学演習

    2018.10 - 2019.3   Second semester

  • 医用画像科学論

    2018.10 - 2019.3   Second semester

  • 品質管理論

    2018.10 - 2019.3   Second semester

  • 画像解剖学演習

    2018.10 - 2019.3   Second semester

  • 臨床イメージング

    2018.10 - 2018.12   Fall quarter

  • 医療安全学

    2018.10 - 2018.12   Fall quarter

  • 国際社会とチーム医療

    2018.4 - 2018.9   First semester

  • 生理機能検査学

    2018.4 - 2018.9   First semester

  • 放射線画像技術学Ⅰ

    2018.4 - 2018.9   First semester

  • Ｘ線ＣＴ画像技術学

    2018.4 - 2018.6   Spring quarter

  • 放射線管理学実験

    2018.4 - 2018.6   Spring quarter

  • 臨床解剖薬理学

    2017.12 - 2018.2   Winter quarter

  • 放射線画像技術学実習

    2017.10 - 2018.3   Second semester

  • 放射線画像技術学II

    2017.10 - 2018.3   Second semester

  • 実践画像技術学

    2017.10 - 2018.3   Second semester

  • 放射線画像技術学実習

    2017.10 - 2018.3   Second semester

  • 放射線画像技術学Ⅱ

    2017.10 - 2018.3   Second semester

  • 画像解剖学演習

    2017.10 - 2018.3   Second semester

  • 医療安全学

    2017.10 - 2017.12   Fall quarter

  • 放射線計測学実実験

    2017.6 - 2017.8   Summer quarter

  • 放射線計測学実験

    2017.6 - 2017.8   Summer quarter

  • 人体の構造と機能ⅡB

    2017.4 - 2017.9   First semester

  • 放射線画像技術学Ⅰ

    2017.4 - 2017.9   First semester

  • 国際社会とチーム医療

    2017.4 - 2017.9   First semester

  • 放射線技術科学入門Ⅰ

    2017.4 - 2017.9   First semester

  • 放射線画像技術学Ⅰ

    2017.4 - 2017.9   First semester

  • X線CT画像技術学

    2017.4 - 2017.6   Spring quarter

  • Ｘ線ＣＴ画像技術学

    2017.4 - 2017.6   Spring quarter

  • 臨床イメージング

    2017.4 - 2017.6   Spring quarter

  • 臨床解剖薬理学

    2024.12 - 2025.2   Winter quarter

  • 放射線画像技術学実習

    2024.10 - 2025.3   Second semester

  • 放射線治療技術学実習

    2024.10 - 2025.3   Second semester

  • 放射線技術科学入門Ⅱ

    2024.10 - 2025.3   Second semester

  • 品質管理論

    2024.10 - 2025.3   Second semester

  • 画像解剖学演習Ⅱ

    2024.6 - 2024.8   Summer quarter

  • 基礎医療統計

    2024.6 - 2024.8   Summer quarter

  • 医用画像情報学実習

    2024.6 - 2024.8   Summer quarter

  • 生理機能検査学Ⅲ

    2024.4 - 2024.9   First semester

  • 生理機能検査学Ⅱ

    2024.4 - 2024.9   First semester

  • 生理機能検査学Ⅰ

    2024.4 - 2024.9   First semester

  • 放射線画像技術学Ⅰ

    2024.4 - 2024.9   First semester

  • 放射線治療・核医学機器学

    2024.4 - 2024.9   First semester

  • 放射線技術科学入門Ⅰ

    2024.4 - 2024.9   First semester

  • 国際社会とチーム医療

    2024.4 - 2024.9   First semester

  • International Society and Multidisciplinary Care

    2024.4 - 2024.9   First semester

  • 画像解剖学演習Ⅰ

    2024.4 - 2024.6   Spring quarter

  • 放射線管理学実験

    2024.4 - 2024.6   Spring quarter

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FD Participation

  • 2024.3   Role：Participation   Title：大学病院の苦悩と医学研究の課題

    Organizer：[Undergraduate school/graduate school/graduate faculty]

  • 2023.9   Role：Participation   Title：大学教育における対話型・生成系人工知能（AI）の活用

    Organizer：Undergraduate school department

  • 2022.9   Role：Planning   Title：保健学部門における国際化の推進とグローバル人材の育成

    Organizer：Undergraduate school department

  • 2022.3   Role：Participation   Title：メンタルヘルス講演会

    Organizer：University-wide

  • 2022.2   Role：Participation   Title：令和3年度馬出地区４部局合同男女共同参画FD

    Organizer：[Undergraduate school/graduate school/graduate faculty]

  • 2021.12   Role：Participation   Title：医学系学府教育ＦＤ「学術論文の購読と投稿とこれから」

    Organizer：University-wide

  • 2021.12   Role：Participation   Title：【IDE大学セミナー】大学スポーツを通して大学を問い直す

    Organizer：University-wide

  • 2021.9   Role：Planning   Title：With/Postコロナ時代の保健学実習・講義のあり方

    Organizer：Undergraduate school department

  • 2021.9   Role：Participation   Title：JST 次世代研究者挑戦的研究プログラム 説明会

    Organizer：University-wide

  • 2020.12   Role：Participation   Title：電子教材著作権講習会

    Organizer：University-wide

  • 2020.12   Role：Participation   Title：電子教材著作権講習会

    Organizer：University-wide

  • 2020.12   Role：Participation   Title：電子教材開発者向け講習会

    Organizer：University-wide

  • 2020.12   Role：Participation   Title：Deciding the Future of Kyushu University

    Organizer：University-wide

  • 2020.11   Role：Participation   Title：令和２年度馬出地区４部局合同男女共同参画FD

    Organizer：University-wide

  • 2020.9   Role：Participation   Title：遠隔授業の現状を踏まえた今後の活用に向けて！

    Organizer：[Undergraduate school/graduate school/graduate faculty]

  • 2020.9   Role：Participation   Title：遠隔授業の現状を踏まえた今後の活用に向けて！

    Organizer：Undergraduate school department

  • 2019.10   Role：Participation   Title：第51回令和元年度IDE大学セミナー

    Organizer：University-wide

  • 2019.9   Role：Participation   Title：医学部保健学科の教育における合理的配慮を考える

    Organizer：[Undergraduate school/graduate school/graduate faculty]

  • 2019.9   Role：Participation   Title：医学部保健学科の教育における合理的配慮を考える

    Organizer：Undergraduate school department

  • 2019.3   Role：Participation   Title：学部・研究科等の枠を超えた学位プログラム(学部等連携課程(仮称))について

    Organizer：University-wide

  • 2019.3   Role：Participation   Title：学部・研究科等の枠を超えた学位プログラムについて

    Organizer：University-wide

  • 2018.10   Role：Participation   Title：平成３０年度馬出地区４部局合同男女共同参画FD

    Organizer：[Undergraduate school/graduate school/graduate faculty]

  • 2018.10   Role：Participation   Title：第50回記念平成30年度IDE大学セミナー

    Organizer：University-wide

  • 2018.9   Role：Participation   Title：M2B学習支援システム講習会

    Organizer：University-wide

  • 2018.9   Role：Participation   Title：医学部保健学科FD (医学部保健学科の入試の在り方～新入試制度QUBE導入に向けて～)

    Organizer：Undergraduate school department

  • 2017.9   Role：Participation   Title：医学部保健学科FD (三専攻共通教育の在り方)

    Organizer：Undergraduate school department

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Participation in international educational events, etc.

  • 2022.10

    Department of Health Sciences, School of Medicine, Kyushu University

    The 18th International Forum of Health Sciences in Kyushu University 2023.

    　 More details

    Venue：Japan・Fukuoka

    Number of participants：80

  • 2022.10

    Department of Health Sciences, School of Medicine, Kyushu University

    The 17th International Forum of Health Sciences in Kyushu University 2022.

    　 More details

    Venue：Japan・Fukuoka

    Number of participants：80

  • 2021.11

    Department of Health Sciences, School of Medicine, Kyushu University

    The 16th International Forum of Health Sciences in Kyushu University 2021.

    　 More details

    Venue：Japan・Fukuoka

    Number of participants：80

  • 2020.11

    Department of Health Sciences, School of Medicine, Kyushu University

    The 15th International Forum of Health Sciences in Kyushu University 2020.

    　 More details

    Venue：Japan・Fukuoka

    Number of participants：80

  • 2019.11

    Department of Health Sciences, School of Medicine, Kyushu University

    The 14th International Forum of Health Sciences in Kyushu University 2019.

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    Venue：Japan・Fukuoka

    Number of participants：80

  • 2018.11

    Department of Health Sciences, School of Medicine, Kyushu University

    The 13th International Forum of Health Sciences in Kyushu University 2019.

    　 More details

    Venue：Japan・Fukuoka

    Number of participants：80

  • 2017.10

    Department of Health Sciences, School of Medicine, Kyushu University

    The 12th International Forum of Health Sciences in Kyushu University 2019.

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    Venue：Japan・Fukuoka

    Number of participants：80

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Other educational activity and Special note

  • 2022  Class Teacher 

  • 2020  Class Teacher 

  • 2019  Class Teacher 

  • 2018  Class Teacher 

  • 2017  Class Teacher 

Social Activities

  • 第17回九州大学医学部保健学科公開講座 / 画像で心臓を観察してみよう

    九州大学医学部保健学科  九州大学病院キャンパス  2019.9

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    Audience： General,　Scientific,　Company,　Civic organization,　Governmental agency

    Type：Lecture

  • 第17回九州大学医学部保健学科公開講座 / 画像で心臓を観察してみよう

    九州大学医学部保健学科  九州大学病院キャンパス  2019.9

    　More details

    Type：Visiting lecture

    researchmap

  • 九州大学出前講座

    明治学園中学高等学校  2017.7

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    Audience： Infants,　Schoolchildren,　Junior students,　High school students

    Type：Seminar, workshop

  • 九州大学出前講座

    明治学園中学高等学校  2017.7

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    Type：Seminar, workshop

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  • 放射線と医療への応用 –診療放射線技師ってどんな職業？-

    帝京大学福岡医療技術学部  柳川市  2016.6

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    Audience： General,　Scientific,　Company,　Civic organization,　Governmental agency

    Type：Lecture

  • 放射線と医療への応用 –診療放射線技師ってどんな職業？-

    帝京大学福岡医療技術部  大牟田市  2016.6

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    Audience： General,　Scientific,　Company,　Civic organization,　Governmental agency

    Type：Lecture

  • 放射線と医療への応用 –診療放射線技師ってどんな職業？-

    帝京大学福岡医療技術学部  柳川市  2016.6

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    Type：Visiting lecture

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  • 放射線と医療への応用 –診療放射線技師ってどんな職業？-

    帝京大学福岡医療技術部  大牟田市  2016.6

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    Type：Visiting lecture

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Travel Abroad

  • 2019.3

    Staying countory name 1：Korea, Republic of   Staying institution name 1：Dongseo Universiy

Notable Clinical Activities

  • 週に1日診療放射線技師として九州大学病院医療技術部放射線部門で勤務（2017年6月〜2018年6月）