Learning Perspective Distortion Correction in Cone-Beam X-Ray Transmission Imaging

Huang Y, Maier A, Fan F, Kreher B, Huang X, Fietkau R, Han H, Putz F, Bert C (2025)


Publication Type: Journal article

Publication year: 2025

Journal

DOI: 10.1109/TRPMS.2025.3551501

Abstract

In cone-beam X-ray transmission imaging, perspective distortion causes difficulty in direct, accurate geometric assessments of anatomical structures. Since perspective distortion correction from a single view is highly ill-posed due to missing stereo/3D information, the efficacy of different view combinations is investigated in this work. Our theoretical analysis reveals that the 0°180° complementary view setting provides a practical way to identify perspectively deformed structures by assessing the deviation between the two views. In addition, it provides bounding information and reduces uncertainty for learning perspective distortion. Beyond view combinations, the impact of learning perspective distortion in different spatial domains, specifically Cartesian and polar coordinates, is explored. Two representative networks Pix2pixGAN and TransU-Net for correcting perspective distortion are investigated. Experiments on numerical bead phantom data and head CT data demonstrate the advantage of complementary views over other view combinations (a 0° single view, 0°90° orthogonal views, and 0°5° small angular views). Results further show that both Pix2pixGAN and TransU-Net achieve better performance in polar space than Cartesian space. The efficacy of the proposed framework on real CBCT projection data and its potential to handle bulky metal implants and surgical screws indicate the promising aspects of future real applications.

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APA:

Huang, Y., Maier, A., Fan, F., Kreher, B., Huang, X., Fietkau, R.,... Bert, C. (2025). Learning Perspective Distortion Correction in Cone-Beam X-Ray Transmission Imaging. IEEE Transactions on Radiation and Plasma Medical Sciences. https://doi.org/10.1109/TRPMS.2025.3551501

MLA:

Huang, Yixing, et al. "Learning Perspective Distortion Correction in Cone-Beam X-Ray Transmission Imaging." IEEE Transactions on Radiation and Plasma Medical Sciences (2025).

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