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。

Language：English   Publishing type：Research paper (scientific journal)   Publisher：European Radiology  

Objectives: Myocardial flow reserve (MFR), derived from ammonia N-13 positron emission tomography (NH3-PET), can predict the prognosis of patients with various heart diseases. We aimed to investigate whether myocardial strain ratio (MSR) was useful in predicting MACE and allowed for further risk stratification of cardiovascular events in patients with ischemic heart disease (IHD) in addition to MFR. Methods: Ninety-five patients underwent NH3-PET because of IHD. MFR was determined as the ratio of hyperemic to resting myocardial blood flow (MBF). MSR was defined as the ratio of strains at stress and rest. The endpoint was major adverse cardiac events (MACE), including all-cause death, acute coronary syndrome, heart failure hospitalization, and revascularization. The ability to predict MACE was assessed using receiver operating characteristic (ROC) analysis, and the predictability of ME was analyzed using Kaplan–Meier analysis. The Cox proportional hazards regression model was used to calculate the hazard ratio (HR) with 95% confidence interval (CI). Results: The ROC curve analysis demonstrated a cutoff of 0.93 for MACE with MSR (sensitivity and specificity of 77% and 71%, respectively). Patients with MSR < 0.93 displayed a significantly higher MACE rate than those with MSR ≥ 0.93 (p = 0.0036). The Cox proportional hazards regression analysis indicated that MSR was an independent marker that could predict MACE in imaging and clinical parameters (HR, 7.32; 95% CI: 1.59–33.7, p = 0.011). Conclusions: MSR was an independent predictor of MACE and was useful for further risk stratification in IHD. MSR has the potential for a new indicator of revascularization in patients with IHD. Key Points: • We hypothesized that combining myocardial flow reserve (MFR) with the myocardial strain ratio (MSR) obtained by applying the feature-tracking technique to ammonia N-13 PET would make it predictive of major adverse cardiac events (MACE) compared to MFR alone. • MSR was an independent predictor of MACE, allowing for further risk stratification in addition to MFR in patients with ischemic heart disease. • MSR is a potential new indicator of revascularization.

DOI： 10.1007/s00330-022-09359-1

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：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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Repository Public URL： http://hdl.handle.net/2324/4743328

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

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

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

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DOI： 10.1093/ehjci/jeaa064

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DOI： 10.1148/ryct.2019190026

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

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

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

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

Language：English   Publishing type：Research paper (scientific journal)   Publisher：(一社)日本核医学会  

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

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

Language：English   Publisher：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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Language：English   Publisher：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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Language：English   Publisher：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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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

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

Language：English   Publishing type：Research paper (scientific journal)   Publisher：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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Language：English   Publisher：(一社)日本循環器学会  

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Language：English   Publisher：Journal of Magnetic Resonance Imaging  

DOI： 10.1002/jmri.28213

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

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.

DOI： 10.1007/s10554-022-02712-x

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Language：Japanese   Publisher：Japanese Society of Nuclear Cardiology  

<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 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.<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 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.<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 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： 10.14951/jsnc.25-001

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

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

Language：English   Publisher：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

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

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

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

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.

DOI： 10.3390/jimaging8070194

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

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

Language：English   Publisher：Journal of Magnetic Resonance Imaging  

DOI： 10.1002/jmri.27880

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Language：Japanese   Publisher：(一社)日本循環器学会  

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Authorship：Lead author   Language：English   Publisher：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.

File： ijerph-19-01401.pdf

DOI： 10.3390/ijerph19031401

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CiNii Research

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Language：English   Publisher：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

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

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

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

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

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

PubMed

Repository Public URL： http://hdl.handle.net/2324/4755250

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

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

Other Link： https://www.mdpi.com/1660-4601/19/3/1401

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

Language：English   Publisher：(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。

Language：English  

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

File： 9989CVIA_cvia-6-4.pdf

DOI： 10.22468/cvia.2021.00339

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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 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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Language：English   Publishing type：Research paper (scientific journal)   Publisher：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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Repository Public URL： http://hdl.handle.net/2324/4755249

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

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

DOI： 10.1093/ehjci/jeaa343.

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

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

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

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

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

DOI： DOI: 10.1016/j.jjcc.2019.09.009.

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

DOI： 10.1007/s10554-019-01697-4

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

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DOI： 10.1253/circrep.CR-18-0024

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

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

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

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

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DOI： 10.1111/crj.12598.

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

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

Event date： 2023.8

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

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Event date： 2023.6

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Venue：Chicago,Illinois   Country：United States  

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Venue：出島メッセ長崎 (長崎市）   Country：Japan  

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Venue：出島メッセ長崎 (長崎市）   Country：Japan  

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Venue：出島メッセ長崎 (長崎市）   Country：Japan  

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Venue：出島メッセ長崎 (長崎市）   Country：Japan  

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Venue：出島メッセ長崎 (長崎市）   Country：Japan  

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Venue：出島メッセ長崎 (長崎市）   Country：Japan  

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Venue：出島メッセ長崎 (長崎市）   Country：Japan  

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Venue：出島メッセ長崎 (長崎市）   Country：Japan  

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Event date： 2023.3

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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  

Event date： 2023.3

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Event date： 2023.3

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Event date： 2023.3

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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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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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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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Event date： 2022.9

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

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

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Event date： 2022.7

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Venue：WEB開催   Country：Japan  

Event date： 2022.7

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Venue：WEB開催   Country：Japan  

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Venue：Vancouver, British Columbia Canada   Country：Canada  

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Venue：Vancouver, British Columbia Canada   Country：Canada  

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Venue：Vancouver, British Columbia Canada   Country：Canada  

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Venue：Vancouver, British Columbia Canada   Country：Canada  

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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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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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Venue：London, England   Country：United Kingdom  

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Venue：London, England   Country：United Kingdom  

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Venue：パシフィコ横浜   Country：Japan  

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Venue：パシフィコ横浜   Country：Japan  

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Venue：Web   Country：Japan  

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Venue：Web   Country：Japan  

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Venue：Web   Country：Japan  

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Venue：Web   Country：Japan  

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Venue：Web   Country：Japan  

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Venue：Web   Country：Japan  

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Event date： 2021.7

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

Event date： 2021.6

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Venue：Web開催   Country：Japan  

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Venue：パシフィコ横浜（横浜市）   Country：Japan  

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Venue：神奈川県横浜市   Country：Japan  

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Event date： 2021.2

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Event date： 2020.11 - 2020.12

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Country：United States  

Event date： 2020.11 - 2020.12

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Country：United States  

Event date： 2020.11

Language：Japanese  

Country：Japan  

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

Event date： 2020.11

Language：Japanese  

Venue：神戸国際会議場(神戸市)   Country：Japan  

Event date： 2020.9 - 2020.10

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Venue：Web開催   Country：Japan  

Event date： 2020.8

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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.

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

Event date： 2019.9

Language：Japanese  

Venue：ホテル日航熊本   Country：Japan  

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

Event date： 2019.8

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：アクロス福岡　大会議室   Country：Japan  

Event date： 2019.7

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Venue：Online   Country：Other  

Event date： 2019.7

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Venue：Online   Country：Other  

Event date： 2019.7

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

Event date： 2019.3

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Venue：神奈川県横浜市   Country：Japan  

Event date： 2019.2 - 2019.3

Language：English  

Country：Austria  

Event date： 2018.11 - 2018.12

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Country：United States  

Event date： 2018.11 - 2018.12

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Country：United States  

Event date： 2018.11

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

Event date： 2018.6

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Venue：Paris   Country：France  

Event date： 2018.3

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

Event date： 2017.9

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Event date： 2017.4

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Venue：Honolulu, Hi, USA   Country：Japan  

Event date： 2017.4

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Venue：横浜市   Country：Japan  

Event date： 2016.11 - 2016.12

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Venue：Chicago, USA   Country：Japan  

Event date： 2016.9

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Venue：さいたま市   Country：Japan  

Event date： 2014.11 - 2014.12

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Venue：Chicago, USA   Country：Japan  

Event date： 2012.5

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Venue：Melbourne, Australia   Country：Japan  

Event date： 2012.3

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Venue：Vienna, Austria   Country：Japan  

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Venue：佐賀市文化会館（佐賀市）   Country：Japan  

Event date： 2021.6

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Venue：Web開催   Country：Japan  

Event date： 2019.11

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：熊本城ホール（熊本市）   Country：Japan  

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  

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  

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  

Event date： 2018.3

Language：Japanese  

Venue：大阪国際会議場   Country：Japan  

Event date： 2018.1

Language：Japanese  

Venue：アクロス福岡   Country：Japan  

Event date： 2017.11

Language：Japanese  

Venue：宝山ホール   Country：Japan  

Event date： 2017.11

Language：Japanese  

Venue：宝山ホール   Country：Japan  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：English  

Language：English  

Language：English  

Language：English  

Language：Japanese  

Language：English  

Language：English  

Language：Japanese  

Language：English  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

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

DOI： doi: 10.1002/jmri.27880

Language：Japanese  

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

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

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

Web of Science

Language：English   Publisher：(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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Type：Peer review 

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

Type：Competition, symposium, etc. 

Number of participants：40

Type：Peer review 

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

Type：Peer review 

Number of peer-reviewed articles in Japanese journals：1

Type：Competition, symposium, etc. 

Number of participants：100

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

Type：Lecture

Type：Visiting lecture

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Type：Visiting lecture

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