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Updated: Jun 26, 2026

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Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
Published on: February 23, 2024
The accuracy of image guided surgery based on cone beam computer tomography image data
Georg Eggers1, Hitomi Senoo, Gavin Kane
1Department of Oral and Cranio-Maxillofacial Surgery, Heidelberg University Hospital, Heidelberg, Germany. georg.eggers@med.uni-heidelberg.de
Summary
Cone beam computed tomography (CBCT) offers comparable accuracy to computed tomography (CT) for patient-to-image registration in maxillofacial surgery. This finding supports CBCT
Area of Science:
- Maxillofacial Surgery
- Medical Imaging
- Surgical Navigation
Background:
- Precision navigation in maxillofacial surgery relies on accurate patient-to-image registration.
- Cone beam computed tomography (CBCT) is a developing imaging modality with potential applications in surgical guidance.
Purpose of the Study:
- To evaluate the accuracy of patient-to-image registration using CBCT data for precision navigation in maxillofacial surgery.
- To compare the registration accuracy of CBCT with conventional computed tomography (CT).
Main Methods:
- A maxillary registration template with markers was applied to a plastic skull phantom.
- Imaging was performed using both CBCT and CT scanners.
- An infrared navigation system was used for pair-point registration, and target registration error (TRE) was assessed.
Main Results:
- A total of 243 registrations were analyzed.
- The average target registration error (TRE) was 1.50 +/- 0.82 mm for CBCT and 1.57 +/- 0.84 mm for CT, with no significant difference.
- Error distribution showed strong correlation between CBCT and CT, with inaccuracies increasing with distance from markers.
Conclusions:
- CBCT provides registration accuracy comparable to CT for image-guided maxillofacial surgery.
- The strong correlation in error distribution validates CBCT as an equivalent alternative to CT in this surgical context.
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