Abstract
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.
| Original language | English (US) |
|---|---|
| Title of host publication | Medical Imaging 2019 |
| Subtitle of host publication | Physics of Medical Imaging |
| Editors | Hilde Bosmans, Guang-Hong Chen, Taly Gilat Schmidt |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510625433 |
| DOIs | |
| State | Published - Jan 1 2019 |
| Event | Medical Imaging 2019: Physics of Medical Imaging - San Diego, United States Duration: Feb 17 2019 → Feb 20 2019 |
Publication series
| Name | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
|---|---|
| Volume | 10948 |
| ISSN (Print) | 1605-7422 |
Conference
| Conference | Medical Imaging 2019: Physics of Medical Imaging |
|---|---|
| Country | United States |
| City | San Diego |
| Period | 2/17/19 → 2/20/19 |
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Keywords
- Computed tomography
- Multi-contrast imaging
- Multi-energy CT
- Photon-counting detectors
- Spectral CT
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
- Biomaterials
- Radiology Nuclear Medicine and imaging
Cite this
Multi-contrast imaging on dual-source photon-counting-detector (PCD) CT. / Tao, Shengzhen; Rajendran, Kishore; McCollough, Cynthia H; Leng, Shuai.
Medical Imaging 2019: Physics of Medical Imaging. ed. / Hilde Bosmans; Guang-Hong Chen; Taly Gilat Schmidt. SPIE, 2019. 109484L (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10948).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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
PY - 2019/1/1
Y1 - 2019/1/1
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
UR - http://www.scopus.com/inward/record.url?scp=85068414683&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85068414683&partnerID=8YFLogxK
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 - Bosmans, Hilde
A2 - Chen, Guang-Hong
A2 - Schmidt, Taly Gilat
PB - SPIE
ER -