Efficient Motion-Corrected, Model-Driven Reconstruction for Simultaneous Multi-Contrast MPnRAGE
Steven Kecskemeti1 and Andrew Alexander1
1University of Wisconsin, Madison, WI, United States
A model-based denoising algorithm is developed for efficient reconstruction of a large number of images with different T1 contrasts using MPnRAGE. The method takes only 50% the time of a single iteration of traditional constrained reconstruction methods.
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