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Abstract #4103

Sliding Motion Corrected Low-rank Plus Sparse Reconstruction for Free-breathing Liver DCE-MRI

Wenyuan Qiu1, Dongxiao Li1, Fan Liu1, Xinyu Jin1, Thanh D. Nguyen2, Martin R. Prince2, Yi Wang2,3, and Pascal Spincemaille2

1College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China, 2Department of Radiology, Weill Cornell Medical College, New York, NY, United States, 3Department of Biomedical Engineering, Cornell University, Ithaca, NY, United States

Liver dynamic contrast enhanced MRI (DCE-MRI) requires high spatiotemporal resolution to clearly visualize enhancement patterns. Image reconstruction quality is often compromised due to unavoidable respiratory motion during the long-time acquisition. This abstract presents a novel sliding motion corrected low-rank plus sparse (SMC-LS) reconstruction algorithm for free-breathing liver DCE-MRI. The sliding motion of the liver along the superior-inferior direction is estimated directly from the under-sampled k-space data. Low-rank and sparse regularization are enforced on the sliding motion corrected image reconstructions. Results demonstrated that SMC-LS can substantially reduce motion blurring and preserve more details in free breathing liver DCE-MRI.

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