Geometry-Aware Diffusion Approximate Posterior Sampling for Sparse-View and Limited-Angle CT
Sparse-view computed tomography (CT) reduces radiation dose and acquisition time and may mitigate motion artifacts. However, angular undersampling provides insufficient information to determine the image uniquely and stably. Limited-angle CT, arising from restricted angular coverage, produces strongly directional information loss associated with the missing angular range. In both settings, image directions may be strongly observed, weakly constrained, or unobservable, leading to severe ill-posedness and reconstruction ambiguity. Existing diffusion-based approaches incorporate measurement information through likelihood guidance, data-consistency operations, or range-null-space corrections....
| Authors | Honglei Brinkmann, Carola-Bibiane Schönlieb, Ander Biguri |
|---|---|
| Primary category | eess.IV |
| Published | 5 October 2026 |
| Last updated at source | 5 October 2026 |
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