Keywords: Prostate, MicrostructureDiffusion-Relaxation Correlation Spectroscopic Imaging (DR-CSI) has shown promises for quantifying prostate microscopic tissue compartments for prostate cancer characterization, but in vivo DR-CSI faces challenges such as lower signal-to-noise ratio (SNR), and signal averages could lead to prolonged scan time. This work investigated the combination of DR-CSI with random matrix theory-based denoising to take advantage of the large number of TE-b values contrast encodings to improve SNR, and enables rapid in vivo prostate microstructure MRI in <6min at 3T.
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