A novel scatter correction method for energy-resolving photon-counting detector based CBCT imaging

BackgroundTo generate high-quality CT images for an energy-resolving photon-counting detector (PCD) based cone beam CT (CBCT) system, it is essential to mitigate the scatter shading artifacts.ObjectiveThe aim of this study is to explore the capability of an energy-modulated scatter correction method, named e-Grid, in removing the scatter shading artifacts in energy-resolving PCD CBCT imaging.MethodsIn the e-Grid method, a linear approximation is assumed between the high-energy primary/scatter signals and the low-energy primary/scatter signals acquired from the two energy windows of a PCD. Calibration experiments were conducted to determine the parameters used in the aforementioned signal model. Physical validation experiments with head and abdominal phantoms were performed on a PCD CBCT imaging benchtop system.ResultsIt was found that the e-Grid method could significantly eliminate scatter cupping artifacts in both low-energy and high-energy PCD CBCT imaging for objects with varying dimensions. Quantitatively, results demonstrated that the e-Grid method reduced scatter artifacts by more than 70% in both low-energy and high-energy PCD CBCT images.ConclusionsIn this study, it is demonstrated that the e-Grid scatter correction method has great potential for reducing scatter shading artifacts in energy-resolving PCD CBCT imaging.

Authors

Institutions

Publication Details

Journal
Journal of X-Ray Science and Technology
Published
2025-09-25
DOI
https://doi.org/10.1177/08953996251351618
Citations
1
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel scatter correction method for energy-resolving photon-counting detector based CBCT imaging

Heran Wang, Yongshuai Ge, Xin Zhang, Hairong Zheng et al.
1 citations
Journal of X-Ray Science and Technology
Advanced X-ray and CT Imaging
0.67
article

A novel scatter correction method for energy-resolving photon-counting detector based CBCT imaging

Heran Wang, Yongshuai Ge, Xin Zhang, Hairong Zheng, Jiongtao Zhu, Dong Liang, Yuhang Tan
article en
1 citations

Abstract

BackgroundTo generate high-quality CT images for an energy-resolving photon-counting detector (PCD) based cone beam CT (CBCT) system, it is essential to mitigate the scatter shading artifacts.ObjectiveThe aim of this study is to explore the capability of an energy-modulated scatter correction method, named e-Grid, in removing the scatter shading artifacts in energy-resolving PCD CBCT imaging.MethodsIn the e-Grid method, a linear approximation is assumed between the high-energy primary/scatter signals and the low-energy primary/scatter signals acquired from the two energy windows of a PCD. Calibration experiments were conducted to determine the parameters used in the aforementioned signal model. Physical validation experiments with head and abdominal phantoms were performed on a PCD CBCT imaging benchtop system.ResultsIt was found that the e-Grid method could significantly eliminate scatter cupping artifacts in both low-energy and high-energy PCD CBCT imaging for objects with varying dimensions. Quantitatively, results demonstrated that the e-Grid method reduced scatter artifacts by more than 70% in both low-energy and high-energy PCD CBCT images.ConclusionsIn this study, it is demonstrated that the e-Grid scatter correction method has great potential for reducing scatter shading artifacts in energy-resolving PCD CBCT imaging.

Journal of X-Ray Science and TechnologyVol. 33(6)
Chinese Academy of Sciences (CN), Southern University of Science and Technology (CN), Shenzhen Institutes of Advanced Technology (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 26%
Advanced X-ray and CT Imaging
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.