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Denoising dynamic CrCEST in skeletal muscle following exercise using low rank tensor approximations
Neil Wilson1, Mark A Elliott2, Dushyant Kumar2, and Ravinder Reddy2
1Siemens Medical Solutions USA Inc, Malvern, PA, United States, 2CMROI, University of Pennsylvania, Philadelphia, PA, United States
Dynamic CrCEST allows for high resolution mapping of the creatine kinase reaction recovery kinetics following exercise over large ROIs. Here, we show that improved denoising utilizing low rank tensor approximations allows for reliable fits over smaller volumes or single voxels.
Recovery time course for a single voxel in the lateral gastrocnemius. Without denoising (left), denoising method 1 (center), denoising method 2 (right).
MTRasym maps without denoising (top row), with denoising method 1 (middle), and with denoising method 2 (bottom)