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Abstract #3126

Free-breathing 2D cine DENSE MRI using localized signal generation, image-based navigators, motion compensation and compressed sensing

Xiaoying Cai1, Xiao Chen2, Yang Yang1, Michael Salerno3, Daniel S. Weller4, Craig H. Meyer1, and Frederick H. Epstein1

1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, United States, 3University of Virginia, Charlottesville, VA, United States, 4Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, United States

Current cine DENSE protocols require breath-holding, which limits the use of this technique to patients with good breath-holding capabilities and excludes many pediatric and heart failure patients. To accomplish free-breathing scans with high efficiency and quality, we developed a 2D cine DENSE acquisition and reconstruction framework that utilizes localized signal generation, image-based self-navigated motion estimation, k-space motion correction and compressed sensing. Reconstructions and Bland-Altman analysis from 5 volunteers demonstrated that the proposed method recovered high-quality images and strain data from free-breathing data, showing better agreement than conventional reconstructions of the same data with breath-holding scans.

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