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.

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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
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Geometry adaptive projection‐domain deep scatter estimation for multi‐source semi‐stationary cone‐beam computed tomography

Alejandro Sisniega, Thomas McSkimming, Egon Perilli, Karen Reynolds et al.
Medical Physics
Medical Imaging Techniques and Applications
article

Geometry adaptive projection‐domain deep scatter estimation for multi‐source semi‐stationary cone‐beam computed tomography

Alejandro Sisniega, Thomas McSkimming, Egon Perilli, Karen Reynolds, Chris Delnooz, Brian Gonzales, Wojciech Zbijewski, Alejandro Lopez‐Montes, Anthony Skeats
article en

Abstract

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.

Medical PhysicsVol. 53(1)
South Australia Pathology (AU), Johns Hopkins University (US), Flinders University (AU)
Openalex Percentile: Top 30%
Medical Imaging Techniques and Applications
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Geometry adaptive projection‐domain deep scatter estimation for multi‐source semi‐stationary cone‐beam computed tomography — Alejandro Sisniega, Thomas McSkimming, et al. · Medical Physics (2025) | TGRS Research Map | TGRS