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Abstract #2651

PS-VN: integrating deep learning into model-based algorithm for accelerated reconstruction of real-time cardiac MR imaging

Zhongsen Li1, Hanyu Wei1, Chuyu Liu1, Yichen Zheng1, Shuo Chen1, and Rui Li1
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China

In this study, we combine classical “partial separable” model with deep-learning framework “variational network” for accelerated reconstruction of real-time cardiac MR imaging. The proposed PS-VN architecture achieves comparable reconstruction accuracy with baseline algorithm and reduce computational time to around 10 seconds for the reconstruction of over 4 thousand dynamic frames.

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