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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