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An improved physics model for multi-material identification in photon counting CT
Author(s): Xu Dong; Olga V. Pen; Zhicheng Zhang; Guohua Cao
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Paper Abstract

Photon-counting computed tomography (PCCT) with energy discrimination capabilities hold great potentials to improve the limitations of the conventional CT, including better signal-to-noise ratio (SNR), improved contrast-to-noise ratio (CNR), lower radiation dose, and most importantly, simultaneous multiple material identification. One potential way of material identification is via calculation of effective atomic number (Zeff) and effective electron density (peeff) from PCCT image data. However, the current methods for calculating effective atomic number and effective electron density from PCCT image data are mostly based on semi-empirical models and accordingly are not sufficiently accurate. Here, we present a physics-based model to calculate the effective atomic number and effective electron density of various matters, including single element substances, molecular compounds, and multi-material mixtures as well. The model was validated over several materials under various combinations of energy bins. A PCCT system was simulated to generate the PCCT image data, and the proposed model was applied to the PCCT image data. Our model yielded a relative standard deviations for effective atomic numbers and effective electron densities at less than 1%. Our results further showed that five different materials can be simultaneously identified and well separated in a Zeff − peeff map. The model could serve as a basis for simultaneous material identification from PCCT.

Paper Details

Date Published: 1 March 2019
PDF: 10 pages
Proc. SPIE 10948, Medical Imaging 2019: Physics of Medical Imaging, 109484O (1 March 2019); doi: 10.1117/12.2512525
Show Author Affiliations
Xu Dong, Virginia Polytechnic Institute and State Univ. (United States)
Olga V. Pen, Virginia Polytechnic Institute and State Univ. (United States)
Zhicheng Zhang, Virginia Polytechnic Institute and State Univ. (United States)
Shenzhen Institutes of Advanced Technology (China)
Guohua Cao, Virginia Polytechnic Institute and State Univ. (United States)


Published in SPIE Proceedings Vol. 10948:
Medical Imaging 2019: Physics of Medical Imaging
Taly Gilat Schmidt; Guang-Hong Chen; Hilde Bosmans, Editor(s)

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