Hui Xue1, Peter Kellman2, Andrew E. Arai2, Michael Schacht Hansen3
1Siemens Corporate Research, Princeton, NJ, United States; 2National Institutes of Health, National Heart, Lung and Blood Institute, Bethesda, MD, United States; 3National Institutes of Health, Bethesda, MD, United States
While the methods do exist for retrospectively reconstructing high temporal resolution cardiac cine images from real-time free-breathing acquisition, they are not clinical applicable, mainly due to the lengthy acquisition (>30s) required for good image quality. To significantly shorten the required acquisition duration, we propose to utilize the non-linear k-space reconstruction for shortened retrospective real-time cine imaging. In-vivo test shows proposed workflow can achieve good image quality comparable to segmented cine with only 10s of real-time data, which largely improves the usability of retrospective reconstruction of real-time cine.