ArticleProceedings of SPIE--the International Society for Optical Engineering2025
Joint Reconstruction and Scatter Estimation in Cone-beam CT using Diffusion Posterior Sampling.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Differentiable Forward and Back-Projector for Rigid Motion Estimation in X-Ray Imaging.IEEE transactions on bio-medical engineering · 2026Article
- Joint Estimation of Scatter Distribution and Material Maps in Volumetric Dual-Layer Cone-Beam CT.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
- One-Step Material Decomposition Using Spectral Diffusion Posterior Sampling in Sparse-View Dual-Layer CT.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
- Joint CT reconstruction of anatomy and implants using a mixed prior model.Journal of medical imaging (Bellingham, Wash.) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
X-ray scatter degrades image quality in computed tomography, particularly in cone-beam CT due to wide cone angles. While mono-energetic CT scatter correction is well-studied, spectral CT imaging presents additional challenges due to its sensitivity to unmodeled biases in material decomposition and density estimation. This work presents a joint estimation approach that simultaneously estimates scatter and material densities by integrating the scatter component into a spectral CT forward model. Using Diffusion Posterior Sampling method, we leverage the combination of prior knowledge from large dataset training and the physical model for joint density and scatter estimation. Tested on simulated and phantom data, our method significantly reduce artifacts associated with unestimated scatter, improving spectral CT image quality.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.