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Proceedings Paper

Material decomposition in photon-counting-detector CT: threshold or bin images?
Author(s): Liqiang Ren; Shengzhen Tao; Cynthia H. McCollough; Lifeng Yu
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Paper Abstract

Energy-resolved photon-counting-detector CT (PCD-CT) is promising for material-specific imaging of multiple contrast agents. In each PCD-CT scan, two groups of images can be reconstructed, namely threshold images and bin images, and both can be directly used for material decomposition. The performance may differ for different energy thresholds and imaging tasks and it remains unclear which group of images should be used. The purpose of this work is to evaluate the imaging performance of threshold images and bin images when they are used for a three-material decomposition task (iodine, gadolinium, and water) in PCD-CT. Material decomposition was performed in image-space by using both an ordinary least squares (OLS) method and a generalized least squares (GLS) method. Both numerical analysis and phantom experiments were conducted, which demonstrated that: 1) compared with OLS, GLS provided improved noise properties using either threshold or bin images; 2) for the GLS method, when the covariances among images are taken into account, threshold and bin images showed almost identical material-specific imaging performance. This work suggested that, when correlations among images are incorporated into material decomposition, threshold and bin images perform equivalently well.

Paper Details

Date Published: 1 March 2019
PDF: 5 pages
Proc. SPIE 10948, Medical Imaging 2019: Physics of Medical Imaging, 109482S (1 March 2019); doi: 10.1117/12.2513463
Show Author Affiliations
Liqiang Ren, Mayo Clinic (United States)
Shengzhen Tao, Mayo Clinic (United States)
Cynthia H. McCollough, Mayo Clinic (United States)
Lifeng Yu, Mayo Clinic (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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