Geometry adaptive projection‐domain deep scatter estimation for multi‐source semi‐stationary cone‐beam computed tomography
We present ADSE, aiming to overcome the limitations of volume-domain and projection-domain scatter estimators that reduce their applicability in multisource sCBCT geometries with lateral truncation, angular under-sampling, and large geometrical variation between projection poses. In the presented studies, ADSE outperformed geometry-aware gDSE and volumetric iMC scatter estimation methods, resulting in reduced artifacts and improved image quality. The results illustrate the feasibility of performing scatter compensation in complex stationary CBCT geometries via a combination of conventional scatter estimation methods with geometrical warping operators tailored to the specific sCBCT geometry.
Authors
- Alejandro Sisniega (ORCID: https://orcid.org/0000-0003-2030-2711)
- Thomas McSkimming
- Egon Perilli (ORCID: https://orcid.org/0000-0002-2679-8394)
- Karen Reynolds (ORCID: https://orcid.org/0000-0002-8273-1610)
- Chris Delnooz
- Brian Gonzales (ORCID: https://orcid.org/0000-0003-4962-1142)
- Wojciech Zbijewski (ORCID: https://orcid.org/0000-0001-7593-5394)
- Alejandro Lopez‐Montes
- Anthony Skeats
Institutions
- South Australia Pathology (AU)
- Johns Hopkins University (US)
- Flinders University (AU)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-12-31
- DOI
- https://doi.org/10.1002/mp.70231
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00