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Updated: Jul 4, 2026
Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
Published on: February 23, 2024
[Elimination of direct derivative of the projection data for image reconstruction based on hybrid filter in helical
Jian-Hua Ma1, Ling-Jian Chen, Gang Yan
1School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China. jhma@fimmu.com
Objective:
We present an alternative approach for precise reconstruction of the images from helical cone-beam projections combining Hilbert filter and Ramp filter.
Methods:
Based on the Katsevich algorithm framework, the proposed algorithm combined the FDK-type algorithms and Katsevich algorithm for their respective advantages, to completely avoid the direct derivatives with respect to the coordinates on the detector plane.
Results:
The experimental results validated the accuracy of the new algorithm, and this approach significantly improved the resolution of the reconstructed images with much reduced artifacts.
Conclusion:
The proposed reconstruction formula based on hybrid Hilbert-Ramp filter is an important development of Katsevich reconstruction formula, and the different forms of the Ramp filters can be designed to realize frequency modulation according to the actual clinical application.
