Two new low-rank denoising methods are compared to an existing low-rank denoising method in 31P-MRSI data of human skeletal muscle and brain. All three methods increase the SNR of the noisy data above that of high SNR data acquired in 4-times the duration. Denoising algorithm parameters are examined using a grid search. Optimal algorithm choice is dataset dependent and incorrect selection of parameters can bias spectra.
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