TY - GEN
T1 - Multi-contrast imaging on dual-source photon-counting-detector (PCD) CT
AU - Tao, Shengzhen
AU - Rajendran, Kishore
AU - McCollough, Cynthia H.
AU - Leng, Shuai
N1 - Funding Information:
This research was supported in part by NIH Grant, R01 EB016966 and C06 RR018898. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The research photon-counting CT system described herein is not commercially available.
Publisher Copyright:
© SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2019
Y1 - 2019
N2 - Photon-counting-detector (PCD) CT can provide multiple energy bin data sets and allows single-acquisition, multiple-contrast-injection imaging using materials such as iodine, gadolinium and bismuth. However, due to technical limitations, PCDs can suffer from compromised energy-resolving capability, which degrades multicontrast imaging performance. In this work, we investigate the use of a dual-source (DS)-PCD system architecture with additional beam filtration to improve spectral separation among energy bin data sets, and quantify its performance for multi-contrast imaging. Experiments were performed using a CT phantom including various concentrations of iodine (I), gadolinium (Gd) and bismuth (Bi). The DS-PCD architecture was emulated by scanning the same phantom twice on a single-source (SS) PCD-CT with two different tube potentials: 80 kV (energy thresholds = 25/50 keV), and 140 kV (energy thresholds = 25/90 keV) with a 0.4-mm tin filter. We further compared material decomposition performance using the proposed DS-PCD approach with that of the current SS-PCD approach. For the SS-PCD, chess mode with 4 energy bins was used, with energy thresholds of 25/50/75/90 keV to resolve the K-edges of Gd and Bi. The mean energies of the four energy bins in SS-PCD were 72/76/93/109 keV, while those of the four energy bins using DS-PCD were 57/64/88/111 keV, denoting a better spectral separation using DS-PCD. The material quantification root mean square error (RMSE) was reduced from 4.5/3.3/1.2 mg/mL for iodine/Gd/Bi using SS-PCD, to 1.4/1.2/1.1 mg/mL using DS-PCD. These results demonstrate that the DS-PCD can improve multi-contrast imaging performance compared to a SS-PCD acquisition.
AB - Photon-counting-detector (PCD) CT can provide multiple energy bin data sets and allows single-acquisition, multiple-contrast-injection imaging using materials such as iodine, gadolinium and bismuth. However, due to technical limitations, PCDs can suffer from compromised energy-resolving capability, which degrades multicontrast imaging performance. In this work, we investigate the use of a dual-source (DS)-PCD system architecture with additional beam filtration to improve spectral separation among energy bin data sets, and quantify its performance for multi-contrast imaging. Experiments were performed using a CT phantom including various concentrations of iodine (I), gadolinium (Gd) and bismuth (Bi). The DS-PCD architecture was emulated by scanning the same phantom twice on a single-source (SS) PCD-CT with two different tube potentials: 80 kV (energy thresholds = 25/50 keV), and 140 kV (energy thresholds = 25/90 keV) with a 0.4-mm tin filter. We further compared material decomposition performance using the proposed DS-PCD approach with that of the current SS-PCD approach. For the SS-PCD, chess mode with 4 energy bins was used, with energy thresholds of 25/50/75/90 keV to resolve the K-edges of Gd and Bi. The mean energies of the four energy bins in SS-PCD were 72/76/93/109 keV, while those of the four energy bins using DS-PCD were 57/64/88/111 keV, denoting a better spectral separation using DS-PCD. The material quantification root mean square error (RMSE) was reduced from 4.5/3.3/1.2 mg/mL for iodine/Gd/Bi using SS-PCD, to 1.4/1.2/1.1 mg/mL using DS-PCD. These results demonstrate that the DS-PCD can improve multi-contrast imaging performance compared to a SS-PCD acquisition.
KW - Computed tomography
KW - Multi-contrast imaging
KW - Multi-energy CT
KW - Photon-counting detectors
KW - Spectral CT
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U2 - 10.1117/12.2513497
DO - 10.1117/12.2513497
M3 - Conference contribution
AN - SCOPUS:85068414683
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2019
A2 - Schmidt, Taly Gilat
A2 - Chen, Guang-Hong
A2 - Bosmans, Hilde
PB - SPIE
T2 - Medical Imaging 2019: Physics of Medical Imaging
Y2 - 17 February 2019 through 20 February 2019
ER -