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Updated: May 23, 2026

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
Published on: February 23, 2024
Evaluation of accuracy of 3D reconstruction images using multi-detector CT and cone-beam CT
Mija Kim1, Kyung-Hoe Huh, Won-Jin Yi
1Department of Orthodontics, Hangang Sacred Heart Hospital, Graduate School of Clinical Dentistry, Hallym University, Seoul, Korea.
Purpose:
This study was performed to determine the accuracy of linear measurements on three-dimensional (3D) images using multi-detector computed tomography (MDCT) and cone-beam computed tomography (CBCT).
Materials And Methods:
MDCT and CBCT were performed using 24 dry skulls. Twenty-one measurements were taken on the dry skulls using digital caliper. Both types of CT data were imported into OnDemand software and identification of landmarks on the 3D surface rendering images and calculation of linear measurements were performed. Reproducibility of the measurements was assessed using repeated measures ANOVA and ICC, and the measurements were statistically compared using a Student t-test.
Results:
All assessments under the direct measurement and image-based measurements on the 3D CT surface rendering images using MDCT and CBCT showed no statistically difference under the ICC examination. The measurements showed no differences between the direct measurements of dry skull and the image-based measurements on the 3D CT surface rendering images (P>.05).
Conclusion:
Three-dimensional reconstructed surface rendering images using MDCT and CBCT would be appropriate for 3D measurements.
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