Quantitative material decomposition with dynamic x-ray model in spectral CT

doi:10.1002/mp.70154

IVPP-IR

	Quantitative material decomposition with dynamic x-ray model in spectral CT
	Wang, Chengmin 1,2; Wang, Zhe 1,3; Liu, Yuedong 1,2; Zhang, Xiaomei 4; Li, Mohan 1,3; Wei, Cunfeng 1,2,3; Wei, Long 1,2,3
	2025-12-02
发表期刊	MEDICAL PHYSICS
ISSN	0094-2405
卷号	52 期号:12 页码:20
通讯作者	Wang, Zhe(wangzhe@ihep.ac.cn) ; Wei, Cunfeng(weicf@ihep.ac.cn)
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.
关键词	material decomposition PCDCT quantitative imaging
DOI	10.1002/mp.70154
关键词[WOS]	DUAL-ENERGY CT ; EFFECTIVE ATOMIC NUMBERS ; STOPPING POWER RATIOS ; COMPUTED-TOMOGRAPHY ; ELECTRON-DENSITY ; CLINICAL-APPLICATIONS ; PRINCIPLES
收录类别	SCI
语种	英语
资助项目	Jinan Laboratory of Applied Nuclear Science###3564
项目资助者	Jinan Laboratory of Applied Nuclear Science
WOS研究方向	Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:001630382200001
出版者	WILEY
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.205/handle/311034/25134
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.