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Abstract #2261

Magnitude difference regularized reconstruction for phase contrast flow MRI

Taehoon Shin1,2 and Wanyong Shin3
1Ewha Womans University, Seoul, Korea, Republic of, 2Case Western Reserve University, Cleaveland, OH, United States, 3Cleveland Clinic, Cleveland, OH, United States

Based on the magnitude similarity between bipolar-encoded k-space data for PC flow imaging, magnitude-difference regularization was incorporated into the conventional compressed sensing (CS) reconstruction. The gradient of the magnitude regularization was derived so the reconstruction problem can be solved iteratively. Retrospecitve in-vivo studies show that the addition of magnitude-difference regularization into conventional CS reconstruction improves the accuracy of image reconstruction using highly undersampled phase-contrast flow MR data.

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