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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