Reconstruction of undersampled 3D non-Cartesian image-based navigators for coronary MRA using an unrolled deep learning model.

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作者： Mario O,Malavé ^[1] ; Corey A,Baron ^[2] ; Srivathsan P,Koundinyan ^[1] ; Christopher M,Sandino ^[1] ; Frank,Ong ^[1] ; Joseph Y,Cheng ^[1] ; Dwight G,Nishimura ^[3]

作者单位： Magnetic Resonance Systems Research Laboratory, Department of Electrical Engineering, Stanford University, Stanford, CA. ^[1] Department of Medical Biophysics, Western University, London, ON, Canada. ^[2] Department of Radiology, Stanford University, Stanford, CA. ^[3]

关键词 3D cones trajectory convolutional neural networks coronary MRA non-Cartesian

主题词冠状血管造影术(Coronary Angiography);心脏(Heart);人类(Humans);成像, 三维(Imaging, Three-Dimensional);磁共振血管造影术(Magnetic Resonance Angiography)

DOI 10.1002/mrm.28177

PMID 32011021

发布时间 2021-08-06

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准确一般字义偏差语意偏离译文作用小提交