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SLICR super-voxel algorithm for fast, robust quantification of myocardial blood flow by dynamic computed tomography myocardial perfusion imaging.

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第一作者： Hao,Wu

第一单位： Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio, United States.

作者： Hao,Wu ^[1] ; Brendan L,Eck ^[1] ; Jacob,Levi ^[2] ; Anas,Fares ^[3] ; Yuemeng,Li ^[1] ; Di,Wen ^[1] ; Hiram G,Bezerra ^[3] ; Raymond F,Muzic ^[4] ; David L,Wilson ^[4]

作者单位： Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio, United States. ^[1] Case Western Reserve University, Department of Physics, Cleveland, Ohio, United States. ^[2] University Hospitals Cleveland Medical Center, Harrington Heart and Vascular Institute, Cardiovascular Imaging Core Laboratory, Cleveland, Ohio, United States. ^[3] Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio, United States.;Case Western Reserve University, Department of Radiology, Cleveland, Ohio, United States. ^[4]

关键词 blood flow quantification cardiac perfusion imaging clustering computed tomography image processing parameter estimation

DOI 10.1117/1.JMI.6.4.046001

PMID 31720314

发布时间 2023-10-19

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Journal of medical imaging (Bellingham, Wash.)

2019年6卷4期

046001页

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Journal of medical imaging (Bellingham, Wash.)

2019年6卷4期

046001页

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SLICR super-voxel algorithm for fast, robust quantification of myocardial blood flow by dynamic computed tomography myocardial perfusion imaging.

Journal of medical imaging (Bellingham, Wash.)

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SLICR super-voxel algorithm for fast, robust quantification of myocardial blood flow by dynamic computed tomography myocardial perfusion imaging.

Journal of medical imaging (Bellingham, Wash.)

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Journal of medical imaging (Bellingham, Wash.)

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