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Abstract #3514

Reduced-FOV k-space Variant Radial Parallel Imaging Reconstruction for Real-time Cardiac MR

Yu Yulee Li1,2, Shams Rashid1, Yang Cheng1, William Schapiro1, Kathleen Gliganic1, Ann-Marie Yamashita1, Marie Grgas1, Michelle Maragh1, and Jie Jane Cao1,3

1Cardiac Imaging, St. Francis Hospital DeMatteis Center for Cardiac Research and Education, Greenville, NY, United States, 2Radiology, Stony Brook University (SUNY), Stony Brook, NY, United States, 3Medicine, Stony Brook University (SUNY), Stony Brook, NY, United States

Radial imaging is k-space variant, but mostly uses k-space invariant methods in image reconstruction. This permits reconstructing images with lower computation complexity at a cost of performance. Here a k-space variant parallel imaging reconstruction technique is developed to reconstruct Cartesian data directly from multi-channel radial samples with affordable computation. It is demonstrated that this technique offers the ability to collect real-time images with a temporal resolution of 40ms and a spatial resolution of 1.7mm. The new technique outperforms those gridding-based methods with k-space invariant algorithms in a stress cardiac test.

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