TY - GEN
T1 - Feasibility of 4D HDR brachytherapy source tracking using C-arm tomography
T2 - Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling
AU - Vasyltsiv, Roman
AU - Qian, Xin
AU - Xu, Zhigang
AU - Ryu, Samuel
AU - Zhao, Wei
AU - Howansky, Adrian
N1 - Publisher Copyright:
© 2022 SPIE.
PY - 2022
Y1 - 2022
N2 - High dose rate (HDR) brachytherapy is a standard radiation therapy for skin, vaginal, cervical, uterine and prostate cancers. Currently, there are few practical approaches to tracking HDR source position in vivo due to dose, shielding, accessibility and workflow challenges, hence internal dosimetry typically cannot be directly verified. Accurate source tracking capabilities are desired to reduce uncertainty in the delivered versus planned treatment dose, which may limit underdose and overdose of the prescribed treatment volume and healthy tissues and improve clinical outcomes. This work investigates the feasibility of using an isocentric C-arm x-ray imaging system to achieve 4D HDR brachytherapy source tracking in vivo using cone-beam tomography and highly constrained reconstruction methods. Monte Carlo simulations using the MC-GPU platform and XCAT anthropomorphic phantom were performed to simulate the imaging workflow for such a system, and investigate the impact of detector, image acquisition and reconstruction parameters on its achievable spatiotemporal resolution. Tradeoffs in the system's spatial, temporal, and dose characteristics are determined. The results indicate that 4D resolutions on the order of 1 mm and 1-2 second may be achieved, which is acceptable for all current HDR brachytherapy applications.
AB - High dose rate (HDR) brachytherapy is a standard radiation therapy for skin, vaginal, cervical, uterine and prostate cancers. Currently, there are few practical approaches to tracking HDR source position in vivo due to dose, shielding, accessibility and workflow challenges, hence internal dosimetry typically cannot be directly verified. Accurate source tracking capabilities are desired to reduce uncertainty in the delivered versus planned treatment dose, which may limit underdose and overdose of the prescribed treatment volume and healthy tissues and improve clinical outcomes. This work investigates the feasibility of using an isocentric C-arm x-ray imaging system to achieve 4D HDR brachytherapy source tracking in vivo using cone-beam tomography and highly constrained reconstruction methods. Monte Carlo simulations using the MC-GPU platform and XCAT anthropomorphic phantom were performed to simulate the imaging workflow for such a system, and investigate the impact of detector, image acquisition and reconstruction parameters on its achievable spatiotemporal resolution. Tradeoffs in the system's spatial, temporal, and dose characteristics are determined. The results indicate that 4D resolutions on the order of 1 mm and 1-2 second may be achieved, which is acceptable for all current HDR brachytherapy applications.
KW - conebeam computed tomography
KW - High dose rate brachytherapy
KW - HYPR
KW - image guidance
KW - MCGPU Monte Carlo
KW - source tracking
KW - XCAT
UR - https://www.scopus.com/pages/publications/85131935227
U2 - 10.1117/12.2611907
DO - 10.1117/12.2611907
M3 - Conference contribution
AN - SCOPUS:85131935227
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2022
A2 - Linte, Cristian A.
A2 - Siewerdsen, Jeffrey H.
PB - SPIE
Y2 - 21 March 2022 through 27 March 2022
ER -