Keywords: Prostate, Diffusion/other diffusion imaging techniquesIncreasing the speed of multiparametric prostate MRI (mpMRI) is highly desirable. However, usual tradeoffs between signal-to-noise (SNR) and scan time must be considered and impact on quantitative metrics must be analyzed. One recently proposed approach applied a commercialized deep learning reconstruction (DL Recon) to prostate T2-weighted imaging, leveraging the capabilities of the DL algorithm to achieve a robust, high-quality T2-weighted acquisition in half the time. As such, this work focuses on evaluating the DL Recon on diffusion weighted imaging, which shows promise to cut acquisition time by ~70% and therefore benefit mpMRI.
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