TY - GEN
T1 - Dose prediction in proton cancer therapy based on density maps from dual-energy CT using joint statistical image reconstruction
AU - Medrano Matamoros, Maria Jose
AU - Chen, Xinyuan
AU - Ge, Tao
AU - Zhao, Tianyu
AU - Liao, Rui
AU - Politte, David G.
AU - Willamson, Jeffrey F.
AU - Whiting, Bruce R.
AU - Hao, Yao
AU - Sun, Baozhou
AU - O'Sullivan, Joseph A.
N1 - Funding Information:
This project is supported by R01 CA212638 and Imaging Sciences Pathway T32EB014855 (MM) from the United States National Institutes of Health. We thank the Siteman Cancer Center for their help in the acquisition of clinical data and Dr. Choonsik Lee from the National Cancer Institute for providing the CT scans and the corresponding segmentation that were used for the development of our simulated patient study.
Publisher Copyright:
© 2022 SPIE.
PY - 2022
Y1 - 2022
N2 - Accuracy in proton range prediction is critical in proton therapy to ensure conformal tumor dose. Our lab proposed a joint statistical image reconstruction method (JSIR) based on a basis vector model (BVM) for estimation of stopping power ratio maps and demonstrated that it outperforms competing Dual Energy CT (DECT) methods. However, no study has been performed on the clinical utility of our method. Here, we study the resulting dose prediction error, the difference between the dose delivered to tissue based on the more accurate JSIR-BVM method and the planned dose based on Single Energy CT (SECT).
AB - Accuracy in proton range prediction is critical in proton therapy to ensure conformal tumor dose. Our lab proposed a joint statistical image reconstruction method (JSIR) based on a basis vector model (BVM) for estimation of stopping power ratio maps and demonstrated that it outperforms competing Dual Energy CT (DECT) methods. However, no study has been performed on the clinical utility of our method. Here, we study the resulting dose prediction error, the difference between the dose delivered to tissue based on the more accurate JSIR-BVM method and the planned dose based on Single Energy CT (SECT).
KW - dual-energy computed tomography
KW - model-based image reconstruction
KW - proton therapy
KW - statistical image reconstruction
UR - http://www.scopus.com/inward/record.url?scp=85131174698&partnerID=8YFLogxK
U2 - 10.1117/12.2611801
DO - 10.1117/12.2611801
M3 - Conference contribution
AN - SCOPUS:85131174698
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2022
A2 - Zhao, Wei
A2 - Yu, Lifeng
PB - SPIE
T2 - Medical Imaging 2022: Physics of Medical Imaging
Y2 - 21 March 2022 through 27 March 2022
ER -