Feasibility study of photon‐counting CT for material identification based on YSO/SiPM detector: A proof of concept

Both simulation and experimental results demonstrate the accurate generation of 70 keV virtual monoenergetic images, electron density, and effective atomic number images using the A-table method. Quantitative imaging results indicate that the YSO/SiPM-based photon-counting detector is capable of accurately reconstructing virtual monoenergetic images, electron density images, effective atomic number images, and linear attenuation coefficient curves, thereby achieving precise material identification.

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Publication Details

Journal
Medical Physics
Published
2024-08-12
DOI
https://doi.org/10.1002/mp.17341
Citations
2
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.37

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article

Feasibility study of photon‐counting CT for material identification based on YSO/SiPM detector: A proof of concept

Peng Xiao, Bin Wu, Rui Chen, Qingguo Xie et al.
2 citations
Medical Physics
Advanced X-ray and CT Imaging
0.37
article

Feasibility study of photon‐counting CT for material identification based on YSO/SiPM detector: A proof of concept

Peng Xiao, Bin Wu, Rui Chen, Qingguo Xie, Du Zhang, Daoming Xi
article en
2 citations

Abstract

Both simulation and experimental results demonstrate the accurate generation of 70 keV virtual monoenergetic images, electron density, and effective atomic number images using the A-table method. Quantitative imaging results indicate that the YSO/SiPM-based photon-counting detector is capable of accurately reconstructing virtual monoenergetic images, electron density images, effective atomic number images, and linear attenuation coefficient curves, thereby achieving precise material identification.

Medical PhysicsVol. 51(11)
University of Science and Technology of China (CN), Wuhan National Laboratory for Optoelectronics (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 44%
Advanced X-ray and CT Imaging
0.37
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