Study on the impact of bowtie filter on photon-counting CT imaging
<i>Objective.</i>The aim of this study was to investigate the impact of the bowtie filter on the image quality of the photon-counting detector (PCD) based CT imaging.<i>Approach.</i>Numerical simulations were conducted to investigate the impact of bowtie filters on image uniformity using two water phantoms, with tube potentials ranging from 60 to 140 kVp with a step of 5 kVp. Subsequently, benchtop PCD-CT imaging experiments were performed to verify the observations from the numerical simulations. Additionally, various correction methods were validated through these experiments.<i>Main results.</i>It was found that the use of a bowtie filter significantly alters the uniformity of PCD-CT images, depending on the size of the object and the x-ray spectrum. Two notable effects were observed: the capping effect and the flattening effect. Furthermore, it was demonstrated that the conventional beam hardening correction method could effectively mitigate such non-uniformity in PCD-CT images, provided that dedicated calibration parameters were used.<i>Significance.</i>It was demonstrated that the incorporation of a bowtie filter results in varied image artifacts in PCD-CT imaging under different conditions. Certain image correction methods can effectively mitigate and reduce these artifacts, thereby enhancing the overall quality of PCD-CT images.
Authors
- Yongshuai Ge (ORCID: https://orcid.org/0000-0002-2415-8430)
- Ting Su (ORCID: https://orcid.org/0000-0001-9162-7690)
- Xin Zhang (ORCID: https://orcid.org/0000-0003-2000-858X)
- Hairong Zheng
- Jiongtao Zhu (ORCID: https://orcid.org/0009-0000-6683-3329)
- Dongmei Xia
- Dong Liang (ORCID: https://orcid.org/0000-0001-6257-0875)
- Jixiong Xie
Institutions
- Chongqing University (CN)
- Chinese Academy of Sciences (CN)
- Key Laboratory of Guangdong Province (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Physics in Medicine and Biology
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1088/1361-6560/ad8858
- Citations
- 1
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.18
Funders
- National Natural Science Foundation of China
- Youth Innovation Promotion Association of the Chinese Academy of Sciences