TY  - GEN
AB  - Contrast-enhanced computed tomography (CT) has found widespread use as a diagnostic imaging tool, with contrast used in approximately 60% of all CT scans. Dual-Energy CT (DECT) offers improvements to standard CT contrast imaging, particularly through material differentiation which improves diagnostic criteria and makes virtual non-contrast imaging possible. Photon-Counting CT (PCCT) improves upon DECT with the use of multiple adjustable energy-thresholds. This technology promises better material differentiation, multi-contrast imaging, increased CNR, reduced dose for maintained image quality, and material-specific K-edge imaging, but optimization of PCCT protocols is needed in order to maximize these benefits.
AU  - Leary, Celeste I.
DA  - 2020
DO  - 10.6083/qb98mg038
DO  - DOI
ID  - 8049
KW  - transmission computed tomography
L1  - https://digitalcollections.ohsu.edu/record/8049/files/Leary.Celeste.2020.pdf
L2  - https://digitalcollections.ohsu.edu/record/8049/files/Leary.Celeste.2020.pdf
L4  - https://digitalcollections.ohsu.edu/record/8049/files/Leary.Celeste.2020.pdf
LK  - https://digitalcollections.ohsu.edu/record/8049/files/Leary.Celeste.2020.pdf
N2  - Contrast-enhanced computed tomography (CT) has found widespread use as a diagnostic imaging tool, with contrast used in approximately 60% of all CT scans. Dual-Energy CT (DECT) offers improvements to standard CT contrast imaging, particularly through material differentiation which improves diagnostic criteria and makes virtual non-contrast imaging possible. Photon-Counting CT (PCCT) improves upon DECT with the use of multiple adjustable energy-thresholds. This technology promises better material differentiation, multi-contrast imaging, increased CNR, reduced dose for maintained image quality, and material-specific K-edge imaging, but optimization of PCCT protocols is needed in order to maximize these benefits.
PB  - Oregon Health and Science University
PY  - 2020
T1  - Linear system analysis for photon-counting computed tomography protocol optimization
TI  - Linear system analysis for photon-counting computed tomography protocol optimization
UR  - https://digitalcollections.ohsu.edu/record/8049/files/Leary.Celeste.2020.pdf
Y1  - 2020
ER  -