In this prospective, multireader, multicenter study, we explore the impact of deep learning (DL) enhancement of 60% accelerated 3D T1 weighted brain MR image acquisitions. We found that the DL processed images demonstrated high volumetric quantification accuracy, matched clinical disease status predictability, and provided what readers perceived as superior image quality when compared with the longer standard-of-care exams, suggesting good generalizability, accuracy, and potential utility of DL enhancement in routine clinical settings. The results of this trial support the use of DL enhancement to shorten clinical MR brain examinations, even when additional quantitative tools such as volumetric analysis are applied.
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