研究者詳細 - 坂口　卓弥

論文

A Verification Study of a Computational Model for Simulating Transcatheter Edge-to-Edge Repair for Mitral Regurgitation 査読国際共著

Fumimasa Shige, Junichi Ooida, Hironaga Noguchi, Koshiro Suzuki, Gakuto Aoyama, Takuya Sakaguchi

Volume 4: Biomedical and Biotechnology 2025年11月

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記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：American Society of Mechanical Engineers

Abstract

In a previous study, we developed a one-way fluid-structure interaction (FSI) model to predict the effect of transcatheter edge-to-edge repair (TEER) on mitral regurgitation (MR). The FSI model consists of a valve deformation model (VDM) for valve dynamics and a lumped parameter model (LPM) for blood flow. For the clinical application of in silico models, it is necessary to verify their credibility to secure the safety. Many studies have been conducted on LPMs, few studies have discussed the patient dependence related to the discretization error. Therefore, as the first step in the credibility assessment, we perform a verification study considering the patient dependence on the error of the LPM. The VDM is compared with the analytical solutions by beam problems, and the LPM is verified using the data of 35 patients. The patient-specific LPMs are generated by parameter optimization with information obtained from medical images, and the behavior of discretization error is examined for MR. As a result, it is confirmed that the absolute value of the error and the dependence of the error on the time step are patient dependent. However, the patient dependence is small in both cases, and the behavior agrees qualitatively with that assumed from a numerical scheme. It is also found that the error of the regurgitation is suppressed to 0.1 ml or less when the time step is 5 μs or less.

DOI： 10.1115/imece2025-163641

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Deep Learning-Based Fully Automated Aortic Valve Leaflets and Root Measurement From Computed Tomography Images ― A Feasibility Study ― 査読

Haruo Yamauchi, Gakuto Aoyama, Hiroyuki Tsukihara, Kenji Ino, Naoki Tomii, Shu Takagi, Katsuhiko Fujimoto, Takuya Sakaguchi, Ichiro Sakuma, Minoru Ono

Circulation Journal 2025年5月

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記述言語：英語掲載種別：研究論文（学術雑誌）

DOI： 10.1253/circj.cj-24-1031

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Development of myocardial perfusion imaging from coronary angiography for clinical application 査読

Yuya Sekikawa, Yusuke Miyazaki, Takuya Sakaguchi

Radiological Physics and Technology 2025年5月

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記述言語：英語掲載種別：研究論文（学術雑誌）

DOI： 10.1007/s12194-025-00917-y

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Fully automatic fossa ovalis segmentation from computed tomography images using deep neural network with atlas-based localization 査読国際共著

Informatics in Medicine Unlocked 52 101613 - 101613 2025年1月

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記述言語：英語掲載種別：研究論文（学術雑誌）

DOI： 10.1016/j.imu.2025.101613

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講演・口頭発表等

A verification study of a computational model for simulating transcatheter edge-to-edge repair for mitral regurgitation 国際会議

Fumimasa Shige, Junichi Ooida, Hironaga Noguchi, Koshiro Suzuki, Gakuto Aoyama, Takuya Sakaguchi

International Mechanical Engineering Congress and Exposition, IMECE2025, The American Society of Mechanical Engineers 2025年11月

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記述言語：英語会議種別：口頭発表（一般）

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Evaluation of Myocardial Perfusion Images Generated from Coronary Angiography Compared to Nuclear Medicine Images 国際会議

Yuya Sekikawa, Yusuke Miyazaki, Takuya Sakaguchi

The 65th Annual Meeting of the Japanese Society of Nuclear Medicine 2025年11月

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記述言語：英語会議種別：口頭発表（一般）

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そうだ、特許にしよう！招待

坂口卓弥

医療系産学連携ネットワーク協議会（medU-net）セミナー 2025年11月

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記述言語：日本語会議種別：口頭発表（招待・特別）

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最先端科学技術の学際的社会実装によるスマートヘルスケアの実現招待

坂口卓弥

分析機器・科学機器総合展セミナー 2025年9月

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記述言語：日本語会議種別：口頭発表（招待・特別）

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Development of myocardial perfusion imaging from coronary angiography for clinical practice 招待国際会議

Yuya Sekikawa, Yusuke Miyazaki, Takuya Sakaguchi

62nd International Scientific-Practical Conference 2025年4月

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記述言語：英語会議種別：口頭発表（招待・特別）

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冠動脈造影画像由来の心筋血流画像における最適な心位相の検討

関川祐矢, 宮崎勇輔, 坂口卓弥

第81回日本放射線技術学会総会学術大会 2025年4月

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記述言語：日本語会議種別：口頭発表（一般）

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▼全件表示

受賞

1st Place Award

2025年4月 Kyrgyz State Medical Academy Development of myocardial perfusion imaging from coronary angiography for clinical practice

Yuya Sekikawa, Yusuke Miyazaki, Takuya Sakaguchi

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受賞区分：国際学会・会議・シンポジウム等の賞受賞国：キルギス共和国

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