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Abstract #3297

Preliminary evaluation of compress sensing chemical exchange saturation transfer (CEST) MRI

Gang Xiao 1 , Phillip Zhe Sun 2 , Zhuozhi Dai 3 , and Renhua Wu 3

1 Department of Mathematics and Statistics, Hanshan Normal University, Chaozhou, Guangdong, China, 2 Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown MA, United States, 3 Department of Radiology, 2nd Affiliated Hospital of Shantou University Medical College, Guangdong, China

A feasible way to accelerate data acquisition while maintaining accurate CEST characterization is highly desirable. We here postulated that compressed sensing (CS) can be applied to reduce the acquired data by a factor up to 5 without losing CEST quantification accuracy. CS technique was verified with experimental measurements from a tissue-like phantom, and the results showed that CESTR with undersampling rate R < 5 agree reasonably well with those of fully sampled data. In summary, our study demonstrates the feasibility of CS technique to accurate quantify CEST MRI.

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