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Abstract #1569

Real-time cardiac MRI using manifold sensing

Sunrita Poddar 1 , Sajan Goud Lingala 2 , and Mathews Jacob 1

1 Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States, 2 Biomedical Engineering, University of Iowa, Iowa City, Iowa, United States

This work enables free-breathing un-gated cardiac MR imaging from highly under-sampled k-space data. It eliminates the need for multiple breath-holds to evaluate cardiac function, thus increasing patient comfort. We consider that the images live on a 2D manifold (parameterized by cardiac and respiratory phases) embedded in higher dimensional space. K-space data of images that lie close on the manifold are combined for reconstruction. The proposed approach does not require cardiac and respiratory gating or manual self-gating and can be automated for routine clinical use. This scheme can work for a range of existing k-space trajectories, including golden angle radial sequences.

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