AI RESEARCH
Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction
arXiv CS.LG
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ArXi:2604.21960v1 Announce Type: cross Computed Tomography (CT) is a widely used imaging modality in medical and industrial applications. To limit radiation exposure and measurement time, there is a growing interest in sparse-view CT, where the number of projection views is significantly reduced. Deep neural networks have shown great promise in improving reconstruction quality in sparse-view CT, especially generative diffusion models.