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01-02-2025 | Digital Volume Tomography | Review

Automatic multimodal registration of cone-beam computed tomography and intraoral scans: a systematic review and meta-analysis

Authors: Qianhan Zheng, Yongjia Wu, Jiahao Chen, Xiaozhe Wang, Mengqi Zhou, Huimin Li, Jiaqi Lin, Weifang Zhang, Xuepeng Chen

Published in: Clinical Oral Investigations | Issue 2/2025

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Abstract

Objectives

To evaluate recent advances in the automatic multimodal registration of cone-beam computed tomography (CBCT) and intraoral scans (IOS) and their clinical significance in dentistry.

Methods

A comprehensive literature search was conducted in October 2024 across the PubMed, Web of Science, and IEEE Xplore databases, including studies that were published in the past decade. The inclusion criteria were as follows: English-language studies, randomized and nonrandomized controlled trials, cohort studies, case–control studies, cross-sectional studies, and retrospective studies.

Results

Of the 493 articles identified, 22 met the inclusion criteria. Among these, 14 studies used geometry-based methods, 7 used artificial intelligence (AI) techniques, and 1 compared the accuracy of both approaches. Geometry-based methods primarily utilize two-stage coarse-to-fine registration algorithms, which require relatively fewer computational resources. In contrast, AI methods leverage advanced deep learning models, achieving significant improvements in automation and robustness.

Conclusions

Recent advances in CBCT and IOS registration technologies have considerably increased the efficiency and accuracy of 3D dental modelling, and these technologies show promise for application in orthodontics, implantology, and oral surgery. Geometry-based algorithms deliver reliable performance with low computational demand, whereas AI-driven approaches demonstrate significant potential for achieving fully automated and highly accurate registration. Future research should focus on challenges such as unstable registration landmarks or limited dataset diversity, to ensure their stability in complex clinical scenarios.
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Metadata
Title
Automatic multimodal registration of cone-beam computed tomography and intraoral scans: a systematic review and meta-analysis
Authors
Qianhan Zheng
Yongjia Wu
Jiahao Chen
Xiaozhe Wang
Mengqi Zhou
Huimin Li
Jiaqi Lin
Weifang Zhang
Xuepeng Chen
Publication date
01-02-2025
Publisher
Springer Berlin Heidelberg
Published in
Clinical Oral Investigations / Issue 2/2025
Print ISSN: 1432-6981
Electronic ISSN: 1436-3771
DOI
https://doi.org/10.1007/s00784-025-06183-x