Three material decomposition for spectral imaging without contrast agents in photon-counting CT–modeling and feasibility study

Xiangyang Tang; Yan Ren; Huiqiao Xie; Wenting Long

doi:10.1117/12.2549660

16 March 2020 Three material decomposition for spectral imaging without contrast agents in photon-counting CT–modeling and feasibility study

Xiangyang Tang, Yan Ren, Huiqiao Xie, Wenting Long

Author Affiliations +

Proceedings Volume 11312, Medical Imaging 2020: Physics of Medical Imaging; 113124W (2020) https://doi.org/10.1117/12.2549660
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

Implemented with energy-integration x-ray detector, dual energy spectral CT has been playing increasingly important roles in the clinic for diagnostic imaging. Encouraged by the clinical value added by dual energy spectral CT in oncological, cardiovascular and neurovascular applications, the technological community is investing more resource and effort on photon-counting spectral CT that is anticipated to outperform its energy-integration counterpart in many advanced clinical applications. Based on the preliminary data of phantom and animal studies acquired using a prototype photoncounting spectral CT system, we revisit the underlying physics, mathematics, dimensionality of material space and selection of basis materials for spectral imaging. Focused on three-material decomposition for virtual monochromatic imaging/analysis, we investigate the feasibility and performance of spectral imaging without contrast agents in photoncounting CT, along with an in-depth analysis of the pros and cons of three-material decomposition over two-material decomposition for spectral imaging.

Citation Download Citation

Xiangyang Tang, Yan Ren, Huiqiao Xie, and Wenting Long "Three material decomposition for spectral imaging without contrast agents in photon-counting CT–modeling and feasibility study", Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 113124W (16 March 2020); https://doi.org/10.1117/12.2549660

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