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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【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。

記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：International Journal of Computer Assisted Radiology and Surgery  

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 detectabil- ity 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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リポジトリ公開URL： https://hdl.handle.net/2324/6766131

記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：European Journal of Nuclear Medicine and Molecular Imaging  

Purpose: We developed a feature-tracking algorithm for use with electrocardiography-gated high-resolution 13 N-ammonia positron emission tomography (PET) imaging, and we hypothesized it could be used to clarify the association between right ventricular (RV) longitudinal strain (LS) and right coronary artery (RCA) ischemia. The aim of this study was to investigate the association between the reduction of regional myocardial flow reserve (MFR) in RCA territories and PET-derived LS of the RV free wall.
Methods: 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 feature-tracking technique on the resting and stressed 13 N-ammonia PET images of horizontal long axis slices. The patients were sub-grouped according to regional MFR values at the territories of RCA, left anterior descending artery (LAD), and left circumflex coronary artery (LCx): RCA-MFR < 2.0 [n = 34], RCA-MFR ≥ 2.0 but MFR < 2.0 at LAD or LCx territories [n = 11], and MFR ≥ 2.0 for all territories [n=48]. 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.
Results: Decreased stress RV-LS in patients with an RCA-MFR < 2.0 was observed. In the patients with MFR ≥ 2.0 for all territories, the stressed RV-LS was significantly increased compared to that in the resting state. Significantly decreased RV free wall LS during adenosine stress in patients with RCA-MFR < 2.0 was observed in the other three groups.
Conclusions: We measured RV myocardial LS using feature tracking in cine imaging of 13 N-ammonia PET. The results of this study suggest that PET-derived stressed RV-LS is useful for detecting reduced RV myocardial motion due to ischemia in the RCA territory.

DOI： 10.1007/s00259-021-05647-y

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リポジトリ公開URL： http://hdl.handle.net/2324/4743328

記述言語：英語   掲載種別：研究論文（学術雑誌）  

We measured right ventricular (RV) strain by applying a novel post-processing technique to conventional short‐axis cine magnetic resonance imaging in the repaired tetralogy of Fallot (TOF) and investigated whether pulmonary valve replacement (PVR) changes the RV strain. Twenty‐four patients with repaired TOF who underwent PVR and 16 healthy controls were enrolled. Global maximum and minimum principal strains (GPSmax, GPSmin) and global circumferential and longitudinal strains (GCS, GLS) were measured from short‐axis cine images reconstructed radially along the long axis. Strain parameters before and after PVR were compared using paired t‐tests. One‐way ANOVA with Tukey post‐hoc analysis was used for comparisons between the before and after PVR groups and the control group. There were no differences in strain parameters before and after PVR. The GPSmax before PVR was lower than that in the control group (P = 0.002). Before and after PVR, GCSs were higher and GLSs were lower than those in the control group (before and after GCSs: P = 0.002 for both, before and after GLSs: P < 0.0001 and P = 0.0003). RV strains from radially reconstructed short‐axis cine images revealed unchanged myocardial motion after PVR. When compared to the control group, changes in GCS and GLS in TOF patients before and after PVR might be due to RV remodeling.

DOI： 10.1038/s41598-021-98464-0

リポジトリ公開URL： http://hdl.handle.net/2324/4706205

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1093/ehjci/jeaa064

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1148/ryct.2019190026

リポジトリ公開URL： http://hdl.handle.net/2324/4479730

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

リポジトリ公開URL： http://hdl.handle.net/2324/4479727

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：(一社)日本核医学会  

記述言語：英語   出版者・発行元：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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リポジトリ公開URL： https://hdl.handle.net/2324/7323438

記述言語：英語   出版者・発行元：Radiology Case Reports  

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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リポジトリ公開URL： https://hdl.handle.net/2324/7323439

記述言語：英語   出版者・発行元：Japanese Journal of Radiology  

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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記述言語：英語   出版者・発行元：Elsevier  

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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記述言語：英語   出版者・発行元：The Japanese Society of Nuclear Cardiology  

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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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Radiography  

Introduction: Dual-energy computed tomography (DECT) can generate virtual non-contrast (VNC) images. Herein, we sought to improve the accuracy of VNC images by identifying the optimal slope of contrast media (SCM) for VNC-image generation based on the iodine concentration and subject's body size. Methods: We used DECT to scan a multi-energy phantom including four iodine concentration rods (15, 10, 5, and 2 mg/mL), and 240 VNC images (eight SCM ranging from 0.49 to 0.56 × three body sizes × ten scans) that were generated by three-material decomposition. The CT number of each iodine and solid water rod part was measured in each VNC image. The difference in the CT number between the iodine and the solid water rod part was calculated and compared using paired t-test or repeated measures ANOVA. Results: The SCM that achieved an absolute value of the difference in CT number of <5.0 Hounsfield units (HU) for all body sizes simultaneously was greater at lower iodine concentration (SCM of 0.5, 0.51, and 0.53 at 10, 5, and 2 mg/mL iodine, respectively). At an iodine concentration of 15 mg/mL, no SCM achieved an absolute difference of <5.0 HU in CT number for all body sizes simultaneously. At all iodine concentrations, the SCM achieving the minimal difference in the CT number increased with the increase in body size. Conclusion: By adjusting the SCM according to the iodine concentration and body size, it is possible to generate VNC images with an accuracy of <5.0 HU. Implications for practice: Improving the accuracy of VNC images minimizing incomplete iodine subtraction would make it possible to replace true non-contrast (TNC) images with VNC images and reduce the radiation dose.

DOI： 10.1016/j.radi.2023.03.003

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記述言語：英語   掲載種別：研究論文（学術雑誌）  

Right Ventricular Strain Derived from ¹³N-ammonia PET and Myocardial Ischemia

Objective: 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 13N-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 13N-ammonia PET images, and investigated the association between myocardial ischemia and RV myocardial motion.
Methods: 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 13N-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.
Results: 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.
Conclusion: We measured RV myocardial LS using FT in high-resolution cine imaging of 13N-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： https://doi.org/10.14951/jsnc.25-001

リポジトリ公開URL： https://hdl.handle.net/2324/6781058

記述言語：英語   出版者・発行元：(一社)日本循環器学会  

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記述言語：英語   出版者・発行元：Journal of Magnetic Resonance Imaging  

DOI： 10.1002/jmri.28213

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：International Journal of Cardiovascular Imaging  

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 cm2/m2, and the limit of agreement (LOA) was − 3.7 to 4.3 cm2/m2. 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.

DOI： 10.1007/s10554-022-02712-x

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記述言語：日本語   出版者・発行元：日本心臓核医学会  

<b>目的</b>：¹³N-アンモニア PETから右室長軸ストレイン（RV-LS）解析を開発し、心筋虚血と右室壁運動との関連を検討した。<br><b>方法</b>：冠動脈病変もしくは冠動脈病変疑いで¹³N-アンモニア PET検査が施行された 93名を summed stress score（SSS）によって、SSS>12の重症虚血群、4≤SSS≤12の中等度群、SSS<4の正常群に分けた。さらに、冠動脈狭窄と過去の梗塞歴のない患者を無作為に 10名抽出して対照群とした。各群の負荷時と安静時の RV-LSを比較した。<br><b>結果</b>：重症虚血群および中等度虚血群の負荷時の RV-LSの絶対値は、正常群および対照群よりも低かった。正常群および対照群において負荷時の RV-LSの絶対値は、安静時に対して増加した。<br><b>結論</b>：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低下を定量する新技術である。

DOI： 10.14951/jsnc.25-001

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Magnetic Resonance Materials in Physics, Biology and Medicine  

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： 10.1007/s10334-022-01017-3

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記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： doi.org/10.17996/anc.22-00161

その他リンク： https://www.jstage.jst.go.jp/article/anc/advpub/0/advpub_22-00161/_article/-char/en

リポジトリ公開URL： http://hdl.handle.net/2324/5208866

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記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   出版者・発行元：MDPI (Multidisciplinary Digital Publishing Institute)  

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.

CiNii Research

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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.

DOI： doi.org/10.3390/jimaging8070194

リポジトリ公開URL： http://hdl.handle.net/2324/4797990

記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Journal of Imaging  

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.

DOI： 10.3390/jimaging8070194

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記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

リポジトリ公開URL： http://hdl.handle.net/2324/4797991

記述言語：英語   出版者・発行元：Journal of Magnetic Resonance Imaging  

DOI： 10.1002/jmri.27880

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記述言語：日本語   出版者・発行元：(一社)日本循環器学会  

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担当区分：筆頭著者   記述言語：英語   出版者・発行元：MDPI  

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.

添付ファイル： ijerph-19-01401.pdf

DOI： 10.3390/ijerph19031401

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記述言語：英語   出版者・発行元：Asian Society of Cardiovascular Imaging  

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.

CiNii Research

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

DOI： doi.org/10.22468/cvia.2021.00339

その他リンク： https://pc.e-cvia.org/DOIx.php?id=10.22468/cvia.2021.00339

リポジトリ公開URL： http://hdl.handle.net/2324/4755248

記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Annals of Nuclear Medicine  

Objective: Heart transplant rejection leads to cardiac allograft vasculopathy (CAV). 13N-ammonia positron emission tomography (PET) can be useful in detecting CAV, as it can evaluate both epicardial vessels and microvasculature. In this study, we evaluated the regional wall motion in heart transplant patients using our PET-specific feature-tracking (FT) algorithm for myocardial strain calculation and validated it using a cardiovascular magnetic resonance (CMR) FT strain as a reference.
Methods: A total of 15 heart transplant patients who underwent both 13N-ammonia PET and CMR within 3 months were retrospectively enrolled. The same slice position of short-axis cine images of the middle slice of left ventricle (LV) and the same slice position of horizontal long-axis cine images were selected for the two modalities to measure the circumferential strain (CS) and longitudinal strain (LS), respectively. Based on the FT technique, time-strain curves were calculated by semi-automatic tracking of the endocardial contour on cine images throughout a cardiac cycle. The peak value in the time-strain curve was defined as the representative value. Correlations of CS and LS between PET and CMR were analyzed using Pearson correlation coefficients. The inter-modality error of strain measurements was evaluated using intraclass correlation coefficients (ICCs) with two-way random single measures.
Results: Excellent correlations of CS and LS between PET and CMR were observed (CS: r = 0.80; p < 0.01; LS: r = 0.87; p < 0.01). Excellent ICCs were observed (0.89 and 0.85) in CS and LS derived from PET.
Conclusions: We propose the first PET strain showing an excellent agreement with the CMR strain and high reproducibility in measurement.

DOI： 10.1007/s12149-021-01686-5

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リポジトリ公開URL： http://hdl.handle.net/2324/4755250

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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.

DOI： doi.org/10.3390/ijerph19031401

その他リンク： https://www.mdpi.com/1660-4601/19/3/1401

リポジトリ公開URL： http://hdl.handle.net/2324/4752582

記述言語：英語  

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

添付ファイル： 9989CVIA_cvia-6-4.pdf

DOI： 10.22468/cvia.2021.00339

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記述言語：英語   出版者・発行元：(一社)日本核医学会  

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。

記述言語：英語   出版者・発行元：日本心臓核医学会  

<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 ¹³N-ammonia positron emission tomography (PET) images to calculate the regional myocardial strains. Here, we investigate the potential of ¹³N-ammonia PET-derived strain to detect ischemia-related wall motion abnormality.<br><i>Methods</i>: Data of adenosine-stress/rest ¹³N-ammonia PET for 95 coronary artery disease patients was retrospectively analyzed. Using an original algorithm dedicated to ¹³N-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 ¹³N-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 ¹³N-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

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Journal of Nuclear Cardiology  

Background: Assessing endocardial strain using a single 13N-ammonia positron emission tomography (PET) scan would be clinically useful, given the association between ischemia and myocardial deformation. However, no software has been developed for strain analysis using PET. We evaluated the clinical potential of feature tracking-derived strain values measured using PET, based on associations
with the myocardial flow reserve (MFR).
Methods and Results: This retrospective study included 95 coronary artery disease patients who underwent myocardial 13N-ammonia PET. Semi-automatic measurements were made using a feature-tracking technique during myocardial cine imaging, and values were calculated using a 16-segment model. Adenosine-stressed global circumferential strain (CS) and global longitudinal strain (LS) values were compared with global MFR values. Stressed and resting global strain values were also compared. Global strain values were significantly lower in 39 patients with abnormal MFRs [<2.0] than in 56 patients with normal MFRs [≥2.0]. The global CS values in the stressed state were significantly decreased than the resting state values in patients with abnormal MFRs.
Conclusions: This study applied endocardial feature-tracking to 13N-ammonia PET, and the results suggested that blood flow and myocardial motility could be clinically assessed in ischemic patients using a single PET scan.

DOI： 10.1007/s12350-021-02677-9

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PubMed

リポジトリ公開URL： http://hdl.handle.net/2324/4755249

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

リポジトリ公開URL： http://hdl.handle.net/2324/4400019

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1093/ehjci/jeaa343.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Nondrug therapy for arrhythmia patients had been developed dramatically until recent years. Cardiac resynchronization therapy (CRT), a nondrug therapy for arrhythmia, is especially utilized for the treatment of left ventricular (LV) severe heart failure caused by cardiac dyssynchrony. Prolonged QRS duration (≥130 ms) is strongly used as a CRT indication criterion, but QRS is not the direct clinical index of mechanical contraction delay of the LV myocardium. Therefore, identifying the presence of dyssynchrony by diagnostic imaging is necessary. Echocardiography is widely used for the assessment of dyssynchrony as a standard diagnostic imaging. Several studies have addressed the efficacy of cardiovascular magnetic resonance feature tracking (CMR-FT) in the diagnosis of dyssynchrony for arry- thmia patients. In addition, cardiac implantable electronic devices (CIEDs) were not avail- able to examine CMR until recent years; however, new MR-conditional CIEDs have become available for use before and after CRT. Recently, diagnostic imaging using CMR-FT has been attracting attention for the assessment of dyssynchrony. However, a strong metal artifact caused by CIEDs may make the analysis difficult after CRT implantation. Strain analysis us- ing short-axis (SA) cine CMR overcame this issue of artifact by enabling slice selection by avoiding artifact. Moreover, circumferential strain has superiority over other strain methods with respect to sensitivity, and we focused on these advantages. This case illustrates that circumferential strain with CMR-FT using SA cine CMR is useful in the assessment of improvement of myocardial motion after CRT and can provide useful additional information with imaging to determine the responders of CRT.

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

リポジトリ公開URL： http://hdl.handle.net/2324/4110732

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： DOI: 10.1016/j.jjcc.2019.09.009.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1007/s10554-019-01697-4

リポジトリ公開URL： http://hdl.handle.net/2324/4479729

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1253/circrep.CR-18-0024

リポジトリ公開URL： http://hdl.handle.net/2324/4480689

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

リポジトリ公開URL： http://hdl.handle.net/2324/4479731

記述言語：英語   掲載種別：研究論文（学術雑誌）  

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

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1111/crj.12598.

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

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

開催年月日： 2023年8月

記述言語：日本語  

開催地：Bali Nusa Dua Convention Center (BNDCC) in Bali.   国名：インドネシア共和国  

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開催年月日： 2023年6月

記述言語：英語  

開催地：Chicago,Illinois   国名：アメリカ合衆国  

開催年月日： 2023年6月

記述言語：英語  

開催地：Chicago,Illinois   国名：アメリカ合衆国  

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開催年月日： 2023年6月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：出島メッセ長崎 (長崎市）   国名：日本国  

開催年月日： 2023年6月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：出島メッセ長崎 (長崎市）   国名：日本国  

開催年月日： 2023年6月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：出島メッセ長崎 (長崎市）   国名：日本国  

開催年月日： 2023年6月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：出島メッセ長崎 (長崎市）   国名：日本国  

開催年月日： 2023年6月

記述言語：日本語  

開催地：出島メッセ長崎 (長崎市）   国名：日本国  

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開催年月日： 2023年6月

記述言語：日本語  

開催地：出島メッセ長崎 (長崎市）   国名：日本国  

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開催年月日： 2023年6月

記述言語：日本語  

開催地：出島メッセ長崎 (長崎市）   国名：日本国  

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開催年月日： 2023年6月

記述言語：日本語  

開催地：出島メッセ長崎 (長崎市）   国名：日本国  

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開催年月日： 2023年3月

記述言語：日本語   会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：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）   国名：日本国  

開催年月日： 2023年3月

記述言語：日本語   会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：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）   国名：日本国  

開催年月日： 2023年3月

記述言語：日本語   会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：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）   国名：日本国  

開催年月日： 2023年3月

記述言語：日本語  

開催地：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）   国名：日本国  

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開催年月日： 2023年3月

記述言語：日本語  

開催地：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）   国名：日本国  

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開催年月日： 2023年3月

記述言語：日本語  

開催地：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）   国名：日本国  

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開催年月日： 2022年9月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：神戸コンベンションセンター（神戸市）   国名：日本国  

開催年月日： 2022年9月

記述言語：日本語  

開催地：神戸コンベンションセンター（神戸市）   国名：日本国  

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開催年月日： 2022年7月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：WEB開催   国名：日本国  

開催年月日： 2022年7月

記述言語：日本語  

開催地：WEB開催   国名：日本国  

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開催年月日： 2022年6月

記述言語：英語  

開催地：Vancouver, British Columbia Canada   国名：カナダ  

開催年月日： 2022年6月

記述言語：英語  

開催地：Vancouver, British Columbia Canada   国名：カナダ  

開催年月日： 2022年6月

記述言語：英語  

開催地：Vancouver, British Columbia Canada   国名：カナダ  

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開催年月日： 2022年6月

記述言語：英語  

開催地：Vancouver, British Columbia Canada   国名：カナダ  

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開催年月日： 2022年5月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：東京コンベンションホール(東京都中央区)   国名：日本国  

開催年月日： 2022年5月

記述言語：日本語  

開催地：東京コンベンションホール(東京都中央区)   国名：日本国  

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開催年月日： 2022年5月

記述言語：英語  

開催地：London, England   国名：グレートブリテン・北アイルランド連合王国(英国)  

開催年月日： 2022年5月

記述言語：英語  

開催地：London, England   国名：グレートブリテン・北アイルランド連合王国(英国)  

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開催年月日： 2022年4月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：パシフィコ横浜   国名：日本国  

開催年月日： 2022年4月

記述言語：日本語  

開催地：パシフィコ横浜   国名：日本国  

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開催年月日： 2022年3月

記述言語：日本語   会議種別：シンポジウム・ワークショップ パネル（公募）  

開催地：Web   国名：日本国  

開催年月日： 2022年3月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：Web   国名：日本国  

開催年月日： 2022年3月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：Web   国名：日本国  

開催年月日： 2022年3月

記述言語：日本語  

開催地：Web   国名：日本国  

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開催年月日： 2022年3月

記述言語：日本語  

開催地：Web   国名：日本国  

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開催年月日： 2022年3月

記述言語：日本語  

開催地：Web   国名：日本国  

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開催年月日： 2021年7月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：奈良県コンベンションセンター（奈良市）   国名：日本国  

開催年月日： 2021年6月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：Web開催   国名：日本国  

開催年月日： 2021年4月

記述言語：英語   会議種別：口頭発表（一般）  

開催地：パシフィコ横浜（横浜市）   国名：日本国  

開催年月日： 2021年3月

記述言語：英語  

開催地：神奈川県横浜市   国名：日本国  

開催年月日： 2021年3月

記述言語：日本語  

開催地：Web開催   国名：日本国  

開催年月日： 2021年2月

記述言語：日本語  

開催地：Webinar   国名：日本国  

開催年月日： 2020年11月 - 2020年12月

記述言語：英語  

国名：アメリカ合衆国  

開催年月日： 2020年11月 - 2020年12月

記述言語：英語  

国名：アメリカ合衆国  

開催年月日： 2020年11月

記述言語：日本語  

国名：日本国  

Feature tracking-derived myocardial strain from 13N-ammonia PET: first challenge for patients with coronary artery disease

開催年月日： 2020年11月

記述言語：日本語  

開催地：神戸国際会議場(神戸市)   国名：日本国  

開催年月日： 2020年9月 - 2020年10月

記述言語：日本語  

開催地：Web開催   国名：日本国  

開催年月日： 2020年8月

記述言語：英語  

国名：その他  

The application of cine MRI to lung disease has been technically challenging. In this study, we exploited optical flow analysis combined with rapid acquisition of cine MRI using compressed sensing to detect differences in regional lung motion. The high spatial and temporal resolution and higher signal-to-noise ratio of cine MRI enabled optical flow analysis to visualize regional differences between five lung segments. It also differentiated between chest and diaphragm breathing patterns in volunteers. In the future, this non-invasive method could be applied to assess and follow lung diseases, such as interstitial pneumonia or chronic obstructive pulmonary disease.

その他リンク： https://www.ismrm.org/20/program_files/DP03-01.htm

開催年月日： 2019年9月

記述言語：日本語  

開催地：ホテル日航熊本   国名：日本国  

Decelerated dark flow with steady-state free precession cine CMR imaging: Association with left ventricular myocardial strain and dyssynchrony

開催年月日： 2019年8月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：アクロス福岡　大会議室   国名：日本国  

開催年月日： 2019年7月

記述言語：英語  

開催地：Online   国名：その他  

開催年月日： 2019年7月

記述言語：英語  

開催地：Online   国名：その他  

開催年月日： 2019年7月

記述言語：日本語  

開催地：秋葉原コンベンションセンター   国名：日本国  

開催年月日： 2019年3月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：神奈川県横浜市   国名：日本国  

開催年月日： 2019年2月 - 2019年3月

記述言語：英語  

国名：オーストリア共和国  

開催年月日： 2018年11月 - 2018年12月

記述言語：英語  

国名：アメリカ合衆国  

開催年月日： 2018年11月 - 2018年12月

記述言語：英語  

国名：アメリカ合衆国  

開催年月日： 2018年11月

記述言語：日本語  

開催地：JST東京本部別館1Fホール（東京・市ケ谷）   国名：日本国  

開催年月日： 2018年6月

記述言語：英語   会議種別：口頭発表（一般）  

開催地：Paris   国名：フランス共和国  

開催年月日： 2018年3月

記述言語：日本語  

開催地：リーガロイヤルホテル（大阪）   国名：日本国  

開催年月日： 2017年9月

記述言語：英語  

開催地：栃木県総合文化センター   国名：日本国  

開催年月日： 2017年4月

記述言語：英語  

開催地：Honolulu, Hi, USA   国名：日本国  

開催年月日： 2017年4月

記述言語：日本語  

開催地：横浜市   国名：日本国  

開催年月日： 2016年11月 - 2016年12月

記述言語：英語  

開催地：Chicago, USA   国名：日本国  

開催年月日： 2016年9月

記述言語：日本語  

開催地：さいたま市   国名：日本国  

開催年月日： 2014年11月 - 2014年12月

記述言語：英語  

開催地：Chicago, USA   国名：日本国  

開催年月日： 2012年5月

記述言語：英語  

開催地：Melbourne, Australia   国名：日本国  

開催年月日： 2012年3月

記述言語：英語  

開催地：Vienna, Austria   国名：日本国  

開催年月日： 2021年12月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：佐賀市文化会館（佐賀市）   国名：日本国  

開催年月日： 2021年6月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：Web開催   国名：日本国  

開催年月日： 2019年11月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：熊本城ホール（熊本市）   国名：日本国  

開催年月日： 2018年11月

記述言語：日本語  

開催地：沖縄県男女共同参画センターてぃるる   国名：日本国  

開催年月日： 2018年11月

記述言語：日本語  

開催地：沖縄県男女共同参画センターてぃるる   国名：日本国  

開催年月日： 2018年9月

記述言語：日本語  

開催地：ホテル日航金沢/金沢市アートホール   国名：日本国  

開催年月日： 2018年3月

記述言語：日本語  

開催地：大阪国際会議場   国名：日本国  

開催年月日： 2018年1月

記述言語：日本語  

開催地：アクロス福岡   国名：日本国  

開催年月日： 2017年11月

記述言語：日本語  

開催地：宝山ホール   国名：日本国  

開催年月日： 2017年11月

記述言語：日本語  

開催地：宝山ホール   国名：日本国  

記述言語：日本語  

記述言語：日本語  

記述言語：日本語  

記述言語：日本語  

記述言語：日本語  

記述言語：日本語  

記述言語：日本語  

記述言語：日本語  

記述言語：日本語  

記述言語：日本語  

記述言語：英語  

記述言語：英語  

記述言語：英語  

記述言語：英語  

記述言語：日本語  

記述言語：英語  

記述言語：英語  

記述言語：日本語  

記述言語：英語  

記述言語：日本語  

記述言語：日本語  

記述言語：日本語  

記述言語：日本語  

記述言語：日本語  

記述言語：日本語  

記述言語：日本語  

記述言語：日本語   出版者・発行元：日本心臓核医学会誌 Vol.24-1  

DOI： 10.14951/jsnc.24.01.25

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記述言語：英語   掲載種別：書評論文，書評，文献紹介等  

DOI： doi: 10.1002/jmri.27880

記述言語：日本語  

その他リンク： https://scmr.org/page/TranslatedPapers

記述言語：日本語   掲載種別：機関テクニカルレポート，技術報告書，プレプリント等  

記述言語：日本語   掲載種別：機関テクニカルレポート，技術報告書，プレプリント等  

Web of Science

記述言語：英語   出版者・発行元：(公社)日本医学放射線学会  

J-GLOBAL

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J-GLOBAL

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J-GLOBAL

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種別：査読等 

外国語雑誌　査読論文数：6

種別：大会・シンポジウム等 

参加者数：40

種別：査読等 

外国語雑誌　査読論文数：3

種別：査読等 

日本語雑誌　査読論文数：1

種別：大会・シンポジウム等 

参加者数：100

対象：社会人・一般,　学術団体,　企業,　市民団体,　行政機関

種別：講演会

種別：出前授業

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種別：出前授業

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