Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning–based Denoising Image Filters

PURPOSE: ]) to reduce whole-body diffusion-weighted MRI (WBDWI) acquisition times. MATERIALS AND METHODS: images by using a three-point Likert scale (good, average, or poor; statistical significance was calculated by using a Wilcoxon signed ranked test). The model was also retrained and tested in 28 patients with malignant pleural mesothelioma (MPM) who underwent lung MRI (2015-2017) to demonstrate feasibility in other body regions. RESULTS: ) by 3.7% (range, 0.2%-10.6%). CONCLUSION: Published under a CC BY 4.0 license.