AI RESEARCH
Exploiting Completeness Perception with Diffusion Transformer for Unified 3D MRI Synthesis
arXiv CS.CV
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ArXi:2602.18400v2 Announce Type: replace-cross Missing data problems, such as missing modalities in multi-modal brain MRI and missing slices in cardiac MRI, pose significant challenges in clinical practice. Existing methods rely on external guidance to supply detailed missing state for instructing generative models to synthesize missing MRIs. However, manual indicators are not always available or reliable in real-world scenarios due to the unpredictable nature of clinical environments.