Diffusion model-based single-scan dual-energy cone-beam CT using primary beam splitting

Junbo Peng; Chih-Wei Chang; Richard L. J. Qiu; Justin Roper; Tonghe Wang; Pretesh R. Patel; David S. Yu; Xiangyang Tang; Xiaofeng Yang

doi:10.1117/12.3005046

1 April 2024 Diffusion model-based single-scan dual-energy cone-beam CT using primary beam splitting

Junbo Peng, Chih-Wei Chang, Richard L. J. Qiu, Justin Roper, Tonghe Wang, Pretesh R. Patel, David S. Yu, Xiangyang Tang, Xiaofeng Yang

Author Affiliations +

Proceedings Volume 12925, Medical Imaging 2024: Physics of Medical Imaging; 129253A (2024) https://doi.org/10.1117/12.3005046
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

Dual-energy cone-beam CT (DECBCT) has great potential for quantitative imaging tasks in CBCT-guided radiation therapy. However, the lack of a practical single-scan solution in data acquisition impedes the practice of CBCT-based adaptive radiotherapy (ART). In this work, we propose an efficient way to achieve DECBCT using the primary beam splitting in a single short scan or half-fan scan. To restore complete dual-energy sinograms sufficient for analytical image reconstruction, the conditional diffusion model is introduced to convert the acquired spectral-mixed sinogram to the complete dual-energy sinograms via a data refinement strategy. The proposed method is compared with the other two diffusion model-based methods and the preliminary results demonstrate the feasibility of the proposed method in quantitative imaging tasks, making it a promising solution to CBCT-based dose calculation and replanning.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Junbo Peng, Chih-Wei Chang, Richard L. J. Qiu, Justin Roper, Tonghe Wang, Pretesh R. Patel, David S. Yu, Xiangyang Tang, and Xiaofeng Yang "Diffusion model-based single-scan dual-energy cone-beam CT using primary beam splitting", Proc. SPIE 12925, Medical Imaging 2024: Physics of Medical Imaging, 129253A (1 April 2024); https://doi.org/10.1117/12.3005046

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