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Abstract #3684

Joint Compressed Sensing and Sensitivity Estimation for Free-Breathing Whole Heart CINE MRI Without ECG Gating

Jingyuan Lyu1, Jiali Zhong2, Yu Ding1, Qi Liu1, Lele Zhao3, Jian Xu1, Weiguo Zhang1, and Ruchen Peng2
1UIH America, Inc., Houston, TX, United States, 2Beijing LuHe Hospital, Capital Medical University, Beijing, China, 3United Imaging Healthcare, Shanghai, China

This abstract presents a new approach to compressed sensing cardiac MRI, which enables free-breathing whole heart coverage cine imaging within 30 seconds. Using a phased array coil, data was acquired continuously along Cartesian sampling trajectories using a lookup table without ECG gating. Each slice was continuously sampled for a fixed period of time, before the slice-selective RF excitation pulse switch to the next slice. In reconstruction, the approach jointly updates coil sensitivity maps and images, integrated with compressed sensing. In post-processing, virtual ECG is calculated based on unsupervised machine learning.

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