Improving data-driven gated (DDG) PET and CT registration in thoracic lesions: A comparison of AI registration and DDG CT

Authors

• Tinsu Pan, University of Texas MD Anderson Cancer Center
• M Allan Thomas, Washington University School of Medicine in St. Louis
• Yang Lu, University of Texas MD Anderson Cancer Center
• Dershan Luo, University of Texas MD Anderson Cancer Center

Journal

EJNMMI Physics

Publication Date

9-30-2025

Volume

12

Issue

1

First Page

87

Document Type

Open Access Publication

DOI

10.1186/s40658-025-00797-6

Rights and Permissions

Pan, T., Thomas, M.A., Lu, Y. et al. Improving data-driven gated (DDG) PET and CT registration in thoracic lesions: a comparison of AI registration and DDG CT. EJNMMI Phys 12, 87 (2025). https://doi.org/10.1186/s40658-025-00797-6 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Recommended Citation

Pan, Tinsu; Thomas, M Allan; Lu, Yang; and Luo, Dershan, "Improving data-driven gated (DDG) PET and CT registration in thoracic lesions: A comparison of AI registration and DDG CT." EJNMMI Physics. 12, 1. 87 (2025).
https://digitalcommons.wustl.edu/oa_4/6903