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Fast implementation for compressive recovery of highly accelerated cardiac cine MRI using the balanced sparse model
Authors:Samuel T. Ting  Rizwan Ahmad  Ning Jin  Jason Craft  Juliana Serafim da Silveira  Hui Xue  Orlando P. Simonetti
Affiliation:1. Department of Biomedical Engineering, The Ohio State University, Columbus, Ohio, USA

Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA;2. Department of Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio, USA

Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA;3. Siemens Medical Solutions, Columbus, Ohio, USA;4. Division of Cardiology, Advocate Christ Medical Center, Oak Lawn, Illinois, USA;5. Department of Internal Medicine, Division of Cardiovascular Medicine, The Ohio State University, Columbus, Ohio, USA;6. The National Heart, Lung and Blood Institute, The National Institutes of Health, Bethesda, Maryland, USA;7. Department of Biomedical Engineering, The Ohio State University, Columbus, Ohio, USA

Abstract:
Keywords:cardiac MRI  parallel imaging reconstruction  cine  compressed sensing
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