A New Method for Cone-Beam Computed Tomography Geometric Parameters Estimation
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Updated: Mar 23, 2026

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
Published on: September 8, 2023
Kun Zhou1, Yixing Huang, Xiangxi Meng
1From the *Department of Biomedical Engineering, College of Engineering, Peking University, Beijing; and †Department of Control Technology and Instrumentation, College of Quality and Technical Supervision, Hebei University, Baoding, China.
Abstract:
This work demonstrates a new approach for geometric parameters estimation of cone-beam computed tomography system from the coordinates of the centroids of 2 projected point sources sampled over 360 degrees. Nonlinear object expression was derived for the coordinates of the centroids in terms of the geometric parameters after a slice of reasonable simplification, which aims to improve the convergence and robustness of the nonlinear object expression. All of the geometric parameters could be precisely estimated from the nonlinear object expression using the annealing algorithm. The simulations and experiments indicate more excellent convergence, robustness, and precision of our approach compared with other methods. Furthermore, our approach is insensitive to the initial value; namely, we do not need to set the value close to the true value to guarantee the convergence of the approach.
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