TY - GEN
T1 - K-edge photon counting CT imaging using a dual-bin photon counting detector and kV switching
AU - Treb, Kevin
AU - Zhang, Ran
AU - Chen, Guang Hong
AU - Li, Ke
N1 - Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2023
Y1 - 2023
N2 - Multi-energy CT can be used to decompose CT images into different material bases to allow for the quantification of materials. Three-material decomposition is desirable for clinical applications such as K-edge imaging. However, three-material decomposition requires measurements at 3 or more energies or additional assumptions such as volume conservation. This work concerns the following questions: 1) For photon counting detector (PCD) CT with only two energy bins, can the joint use of the PCD and kV-switching improve the performance of three-material decomposition for K-edge imaging? 2) If the PCD energy threshold must be fixed for both kV levels, how can its optimal value be pre-determined for a given K-edge imaging task? 3) While in conventional kV-switching multi-energy CT the separation of the two kV levels needs to be as wide as achievable, is this still the case when kV-switching is jointly used with a dual-bin PCD? These questions were answered by performing Craḿer-Rao lower bound (CRLB) analysis for dual-bin PCD-CT with kV-switching to optimize the PCD threshold and kV levels for the decomposition of water, iodine, and gadolinium bases using a previously modeled CdTe PCD energy response function. Experimental dual-bin PCD-CT images were acquired with kV-switching, and without kV-switching but with the volume conservation constraint, using the optimal acquisition parameters obtained from the CRLB analysis. Dual-bin PCD-CT with kV-switching allowed separation of all three basis materials with improved quantitative accuracy over dual-bin PCD-CT without kV-switching, which also suffered from poorer material separation and residual or missing signals from other materials.
AB - Multi-energy CT can be used to decompose CT images into different material bases to allow for the quantification of materials. Three-material decomposition is desirable for clinical applications such as K-edge imaging. However, three-material decomposition requires measurements at 3 or more energies or additional assumptions such as volume conservation. This work concerns the following questions: 1) For photon counting detector (PCD) CT with only two energy bins, can the joint use of the PCD and kV-switching improve the performance of three-material decomposition for K-edge imaging? 2) If the PCD energy threshold must be fixed for both kV levels, how can its optimal value be pre-determined for a given K-edge imaging task? 3) While in conventional kV-switching multi-energy CT the separation of the two kV levels needs to be as wide as achievable, is this still the case when kV-switching is jointly used with a dual-bin PCD? These questions were answered by performing Craḿer-Rao lower bound (CRLB) analysis for dual-bin PCD-CT with kV-switching to optimize the PCD threshold and kV levels for the decomposition of water, iodine, and gadolinium bases using a previously modeled CdTe PCD energy response function. Experimental dual-bin PCD-CT images were acquired with kV-switching, and without kV-switching but with the volume conservation constraint, using the optimal acquisition parameters obtained from the CRLB analysis. Dual-bin PCD-CT with kV-switching allowed separation of all three basis materials with improved quantitative accuracy over dual-bin PCD-CT without kV-switching, which also suffered from poorer material separation and residual or missing signals from other materials.
UR - https://www.scopus.com/pages/publications/85160718942
UR - https://www.scopus.com/pages/publications/85160718942#tab=citedBy
U2 - 10.1117/12.2654241
DO - 10.1117/12.2654241
M3 - Conference contribution
AN - SCOPUS:85160718942
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2023
A2 - Yu, Lifeng
A2 - Fahrig, Rebecca
A2 - Sabol, John M.
PB - SPIE
T2 - Medical Imaging 2023: Physics of Medical Imaging
Y2 - 19 February 2023 through 23 February 2023
ER -