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Preprint Aug 2026

An integrated diffusion-weighted imaging processing and interpretation platform for MR-guided radiotherapy

Background: Magnetic resonance imaging-guided linear accelerators (MR-Linacs) allow diffusion-weighted imaging (DWI) to be acquired at every treatment fraction, but converting these low-signal-to-noise-ratio acquisitions into clinical decisions requires both reliable quantitative processing and an interpretation that r...

Yunxiang Li, Yan Dai, Yen-Peng Liao et al. · 0 citations
Aug 2026

Physics-Assisted Deep Learning Denoising for Stabilized IMPULSED dMRI Microenvironment Parameter Fitting

Diffusion-weighted MRI (dMRI) is a powerful tool for quantifying cellular microenvironment parameters. This study proposes a physics-assisted deep learning (DL)-based denoising framework designed to enhance dMRI signal quality and improve the robustness of subsequent biophysical model fitting. A dataset of paired noise...

Wen Li, Yan Dai, A. P. Rodriguez et al. · 0 citations

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