Ye C, Schneider LS, Sun Y, Bayer S, Maier A (2025)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2025
Publisher: IEEE
City/Town: 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)
Conference Proceedings Title: 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)
Event location: Yokohama, Japan
ISBN: 978-1-6654-7767-3
URI: https://ieeexplore.ieee.org/abstract/document/11287860
DOI: 10.1109/NSS/MIC/RTSD57106.2025.11287860
Differentiable shift-variant filtered backprojection (SV-FBP) is a fast and efficient reconstruction algorithm for cone-beam computed tomography with non-circular trajectories. While this method is significantly faster than iterative methods, its reliance on trajectory-specific training of Radondomain weights limits its ability to generalise and reuse it across different scanning geometries. In this paper, we propose a novel training framework that facilitates trajectory-generalizable learning for SV-FBP. The fundamental concept underpinning this methodology is a preprocessing pipeline that standardises a set of CBCT trajectories by reordering projections based on geometric continuity. This standardization decouples the learned SV-FBP weights from the absolute trajectory configuration, thereby making them invariant to projection order, allowing a single model to be reused across multiple trajectories. Experimental results show that the proposed method enables a single SV-FBP model to generalize across four distinct non-circular CBCT trajectories, achieving consistent performance with an average MSE of 0.1207, PSNR of 34.68 dB, and SSIM of 0.9177, without the need for retraining. This confirms the effectiveness of the standardization framework in enhancing flexibility and scalability.
APA:
Ye, C., Schneider, L.-S., Sun, Y., Bayer, S., & Maier, A. (2025). SV-FBP for Non-Circular CBCT via Trajectory Standardization: Learn Once and for All. In 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). Yokohama, Japan, JP: 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD): IEEE.
MLA:
Ye, Chengze, et al. "SV-FBP for Non-Circular CBCT via Trajectory Standardization: Learn Once and for All." Proceedings of the 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), Yokohama, Japan 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD): IEEE, 2025.
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