Accelerated T2 Prime Mapping using Dynamic Compressed Sensing with Patch-based Low-Rank Penalty

A compressed sensing algorithm is applied to T2 prime mapping which is useful for diagnosis of cerebrovascular disorders such as occlusive carotid disease and ischemic stroke. The quantitative measure of parameter maps with high resolution requires the acquisition of multiple images. That is usually associated with long acquisition times. To reduce the acquisition time of MR data, we use a compressed sensing algorithm using patch based low rank penalty for the reconstruction of T2 and T2-star weighted images to obtain the T2 prime map.

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