Impact of deep learning architectures on accelerated cardiac T<sub>1</sub> mapping using MyoMapNet.

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第一作者： Amine,Amyar

第一单位： Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.

作者： Amine,Amyar ^[1] ; Rui,Guo ^[1] ; Xiaoying,Cai ^[2] ; Salah,Assana ^[1] ; Kelvin,Chow ^[3] ; Jennifer,Rodriguez ^[1] ; Tuyen,Yankama ^[1] ; Julia,Cirillo ^[1] ; Patrick,Pierce ^[1] ; Beth,Goddu ^[1] ; Long,Ngo ^[1] ; Reza,Nezafat ^[1]

作者单位： Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA. ^[1] Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.;Siemens Medical Solutions USA, Inc., Boston, Massachusetts, USA. ^[2] Siemens Medical Solutions USA, Inc., Chicago, Illinois, USA. ^[3]

关键词 cardiac MRI deep learning inversion-recovery cardiac T1 mapping myocardial tissue characterization

主题词心脏(Heart);人类(Humans);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted);磁共振成像(Magnetic Resonance Imaging);心肌(Myocardium);结果可重复性(Reproducibility of Results)

DOI 10.1002/nbm.4794

PMID 35767308

发布时间 2023-11-02

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