We propose Random Matrix Theory (RMT) reconstruction to reduce the scan time of prostate diffusion (DWI) by using fewer averages and still maintain image quality. RMT leverages the joint redundancy across receiver coils, voxels, and measurements to identify and remove the universal noise-only Marchenko-Pastur distribution. We find that RMT can dramatically increase the SNR of the prostate protocol, where the coefficient of variation of the RMT reconstruction for 1 average is lower than the conventional reconstruction of 14 averages. Thereby, RMT allows to reduce scan time by over 5-fold with comparable image quality.
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