Quantitative material decomposition with dynamic x-ray model in spectral CT
文献类型：期刊论文
| 作者 | Wang, Chengmin1,2; Wang, Zhe1,3; Liu, Yuedong1,2; Zhang, Xiaomei4; Li, Mohan1,3; Wei, Cunfeng1,2,3; Wei, Long1,2,3 |
| 刊名 | MEDICAL PHYSICS
 |
| 出版日期 | 2025-12-02 |
| 卷号 | 52期号:12页码:20 |
| 关键词 | material decomposition PCDCT quantitative imaging |
| ISSN号 | 0094-2405 |
| DOI | 10.1002/mp.70154 |
| 通讯作者 | Wang, Zhe(wangzhe@ihep.ac.cn) ; Wei, Cunfeng(weicf@ihep.ac.cn) |
| 英文摘要 | Background With the development of photon-counting detectors (PCD), spectral CT has gained greater flexibility in utilizing spectral information, making it a powerful tool for material decomposition. Traditional decomposition methods rely on predefined physical models to estimate effective atomic numbers and density. However, these models may fail to maintain accuracy under flexible scanning protocols or for a broader range of materials.Purpose This study proposed an adaptive image-domain decomposition method (AIDM) to enhance the accuracy of material decomposition in spectral CT. AIDM dynamically adjusts the x-ray interaction model to compensate for modeling errors and improve quantitative material analysis.Methods To account for various physical effects, we introduce two correction terms: an exponential correction term, C(E,Zeff)$C(E, Z_{\text{eff}})$, that jointly models the photoelectric effect and coherent scattering, and a compensation factor, D(E,Zeff)$D(E, Z_{\text{eff}})$, for accurate Compton scattering correction. Both terms are formulated as polynomial expansions and fitted using NIST reference data. The effective energy for each bin is calibrated based on known reference materials, and decomposition is performed on reconstructed images using a nonlinear system derived from the improved attenuation model.Results The proposed method was validated using standard materials, minerals, and biological samples. Compared to existing methods, AIDM demonstrated improved accuracy, robustness, and broader applicability in material quantification.Conclusions AIDM enables accurate spectral CT-based material estimation, providing significant improvements in various applications. |
| WOS关键词 | DUAL-ENERGY CT ; EFFECTIVE ATOMIC NUMBERS ; STOPPING POWER RATIOS ; COMPUTED-TOMOGRAPHY ; ELECTRON-DENSITY ; CLINICAL-APPLICATIONS ; PRINCIPLES |
| 资助项目 | Jinan Laboratory of Applied Nuclear Science |
| WOS研究方向 | Radiology, Nuclear Medicine & Medical Imaging |
| 语种 | 英语 |
| WOS记录号 | WOS:001630382200001 |
| 出版者 | WILEY |
| 资助机构 | Jinan Laboratory of Applied Nuclear Science |
| 源URL | [http://119.78.100.205/handle/311034/25133]  |
| 专题 | 中国科学院古脊椎动物与古人类研究所 |
| 通讯作者 | Wang, Zhe; Wei, Cunfeng |
| 作者单位 | 1.Chinese Acad Sci, Inst High Energy Phys, Beijing Engn Res Ctr Radiog Tech & Equipment, Beijing 100049, Peoples R China 2.Univ Chinese Acad Sci, Sch Nucl Sci & Technol, Beijing, Peoples R China 3.Jinan Lab Appl Nucl Sci, Jinan, Peoples R China 4.Chinese Acad Sci, Inst Vertebrate Paleontol & Paleoanthropol, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Chengmin,Wang, Zhe,Liu, Yuedong,et al. Quantitative material decomposition with dynamic x-ray model in spectral CT[J]. MEDICAL PHYSICS,2025,52(12):20. |
| APA | Wang, Chengmin.,Wang, Zhe.,Liu, Yuedong.,Zhang, Xiaomei.,Li, Mohan.,...&Wei, Long.(2025).Quantitative material decomposition with dynamic x-ray model in spectral CT.MEDICAL PHYSICS,52(12),20. |
| MLA | Wang, Chengmin,et al."Quantitative material decomposition with dynamic x-ray model in spectral CT".MEDICAL PHYSICS 52.12(2025):20. |
入库方式： OAI收割
来源：古脊椎动物与古人类研究所
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