Automated cardiac coverage assessment in cardiovascular magnetic resonance imaging using an explainable recurrent 3D dual-domain convolutional network.

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第一作者： Shahabedin,Nabavi

第一单位： Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran.

作者： Shahabedin,Nabavi ^[1] ; Mohammad,Hashemi ^[1] ; Mohsen,Ebrahimi Moghaddam ^[1] ; Ahmad Ali,Abin ^[1] ; Alejandro F,Frangi ^[2]

作者单位： Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran. ^[1] Christable Pankhurst Institute, Division of Informatics, Imaging and Data Sciences, School of Health Sciences, and Department of Computer Science, School of Engineering, The University of Manchester, Manchester, UK.;Medical Imaging Research Center (MIRC), Department of Electrical Engineering and Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.;Alan Turing Institute, London, UK. ^[2]

关键词 cardiac coverage cardiovascular magnetic resonance imaging image quality assessment population image analysis salient region detection

主题词人类(Humans);自动化(Automation);磁共振成像(Magnetic Resonance Imaging);心脏(Heart);成像, 三维(Imaging, Three-Dimensional);图像处理, 计算机辅助(Image Processing, Computer-Assisted);算法(Algorithms)

DOI 10.1002/mp.17411

PMID 39312585

发布时间 2024-12-19

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