ArticleDental press journal of orthodontics2023
3D reconstruction of lower anterior teeth from CBCT images: automatic segmentation with manual refinements.
Article in Dental press journal of orthodontics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Development of Semi-Automatic Dental Image Segmentation Workflows with Root Canal Recognition for Faster Ground Tooth Acquisition.Journal of imaging · 2025Article
- Cone-beam computed tomography prescription by Brazilian orthodontists.Dental press journal of orthodontics · 2025Article
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Authors and funding
3 authors.
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Abstract
objectiveTo develop a well-detailed and reproducible tooth segmentation method, when quantifying tooth volumetric measurements is needed. MATERIAL AND
methodsThis was an in vitro study in which lower incisors and canines of five patients were 3D reconstructed by means of an automatic segmentation with manual refinements process. All the images were obtained using a 0.3-mm voxel size CBCT imaging. The software utilized was the ITK-SNAP®. The primary outcomes were the intra-rater and inter-rater reliabilities and the respective measurement errors.
resultsThe intra-rater reliability was excellent, with a mean measurement error of 4.16%. The inter-rater reliability was good, with a mean measurement error of 7.11%. Accuracy assessment was not possible, as the assessed teeth were not extracted.
conclusionsAlthough the described method is reliable, tooth volumetric error measurements may become significant, depending on the assessed situation.
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