Synthesizing decomposed tumor images with a patient-specific conditional diffusion model to enhance tumor contrast for x-ray-guided radiotherapy Conference Paper
| Authors: | Peng, J.; Safari, M.; Qiu, R. L. J.; Roper, J.; Wang, T.; Yang, X. |
| Title: | Synthesizing decomposed tumor images with a patient-specific conditional diffusion model to enhance tumor contrast for x-ray-guided radiotherapy |
| Conference Title: | Medical Imaging 2025: Image-Guided Procedures, Robotic Interventions, and Modeling |
| Abstract: | Real-time tumor tracking can monitor patient motion, verify tumor position, and guide the radiation beam to the tumor target in X-ray-guided radiation therapy. However, markerless kilovoltage (kV) X-ray image-based tumor tracking is a long-standing challenge in clinical practice due to its low tumor contrast and visibility. In this work, we aim to develop a patient-specific conditional diffusion model to generate the decomposed tumor image (DTI) for X-ray-guided tumor tracking in radiotherapy. The proposed method is evaluated using lung patients and can effectively improve the target contrast of lung tumors on the kV projection images. © 2025 SPIE |
| Journal Title | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
| Volume: | 13408 |
| Conference Dates: | 2025 Feb 17-20 |
| Conference Location: | San Diego, CA |
| ISBN: | 1605-7422 |
| Publisher: | SPIE |
| Date Published: | 2025-01-01 |
| Start Page: | 134082H |
| Language: | English |
| DOI: | 10.1117/12.3047403 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Conference paper (ISBN: 9781510685949) -- Source: Scopus |
