AI RESEARCH
Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT
arXiv CS.CV
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ArXi:2509.13576v2 Announce Type: replace-cross Sparse-View CT (SVCT) reconstruction enhances temporal resolution and reduces radiation dose, yet its clinical use is hindered by artifacts due to view reduction and domain shifts from scanner, protocol, or anatomical variations, leading to performance degradation in out-of-distribution (OOD) scenarios. In this work, we propose a Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction (CDPIR) framework to tackle the OOD problem in