Diffusion-Based Synthesis of Complete 3D Biparametric Prostate MRI

The paper introduces a conditional 3D diffusion framework that synthesizes complete biparametric prostate MRI (bpMRI) from anatomical masks. It supports both sequential synthesis—generating T2-weighted and diffusion modalities with separate models—and joint synthesis—producing all bpMRI modalities simultaneously in a single model. Experiments on PI-CAI, FastMRI Prostate, and PROSTATEx datasets show that joint synthesis achieves competitive distributional fidelity, while directly synthesizing ADC and high‑b‑value DWI outperforms deriving them from synthetic diffusion-weighted images.

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• diffusion