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Abstract #4710

Accelerating Cerebrovascular 4D Flow by Low-Rank and Sparsity Constraints at Ultra-High Field

Xueying Zhao1, Pierre-Francois Van de Moortele2, Ying-Hua Chu3, and He Wang1,4
1Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China, 2Center for Magnetic Resonance Research, University of Minnesota, minneapolis, MN, United States, 3MR Collaboration, Siemens Healthineers Ltd., Shanghai, China, Shanghai, China, 4Human Phenome Institute, Fudan University, Shanghai, China


Inspired by the success of low-rank and sparsity (L+S) representation in 4D flow MRI acceleration of great vessels (e.g. hearts or aortic), we managed to implement a generalized L+S reconstruction framework for cerebrovascular 4D flow at 7T. The iterative hard-thresholding approach was adopted instead of the popular used soft-thresholding method because we found soft-thresholding underestimated the reconstructed phase value while hard-thresholding well preserved the phase information. The L+S reconstructed magnitude and phase value at an acceleration factor of 10 is comparable to the fully sampled reference and represents less errors compared with other compressed sensing based approaches.

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