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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