ArticleDento maxillo facial radiology2018
Assessment of automatic segmentation of teeth using a watershed-based method.
Article in Dento maxillo facial radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 39 citations in OpenAlex.
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- Boomerang and bones: Refining the chronology of the Early Upper Paleolithic at Obłazowa Cave, Poland.PloS one · 2025Article
- Fully automatic AI segmentation of oral surgery-related tissues based on cone beam computed tomography images.International journal of oral science · 2024Article
- Semi or fully automatic tooth segmentation in CBCT images: a review.PeerJ. Computer science · 2024Article
- Morphological study of pulp cavity anatomy of canine teeth in domestic cats using micro-computed tomography.Frontiers in veterinary science · 2024Article
- The impact of teeth and dental restorations on gray value distribution in cone-beam computer tomography: a pilot study.International journal of implant dentistry · 2023Article
- Improved Watershed Algorithm-Based Microscopic Images Combined with Meibomian Gland Microprobe in the Treatment of Demodectic Blepharitis.Computational and mathematical methods in medicine · 2022Article
- Artificial intelligence-driven novel tool for tooth detection and segmentation on panoramic radiographs.Clinical oral investigations · 2021Article
- How image-processing parameters can influence the assessment of dental materials using micro-CT.Imaging science in dentistry · 2020Article
- Estimation of root inclination of anterior teeth from virtual study models: accuracy of a commercial software.Progress in orthodontics · 2019Article
- Marker-based watershed transform method for fully automatic mandibular segmentation from CBCT images.Dento maxillo facial radiology · 2019Article
- Root Canal Anatomy of Maxillary First Premolar by Microscopic Computed Tomography in a Chinese Adolescent Subpopulation.BioMed research international · 2019Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTooth 3D automatic segmentation (AS) is being actively developed in research and clinical fields. Here, we assess the effect of automatic segmentation using a watershed-based method on the accuracy and reproducibility of 3D reconstructions in volumetric measurements by comparing it with a semi-automatic segmentation(SAS) method that has already been validated.
methodsThe study sample comprised 52 teeth, scanned with micro-CT (41 µm voxel size) and CBCT (76; 200 and 300 µm voxel size). Each tooth was segmented by AS based on a watershed method and by SAS. For all surface reconstructions, volumetric measurements were obtained and analysed statistically. Surfaces were then aligned using the SAS surfaces as the reference. The topography of the geometric discrepancies was displayed by using a colour map allowing the maximum differences to be located.
resultsAS reconstructions showed similar tooth volumes when compared with SAS for the 41 µm voxel size. A difference in volumes was observed, and increased with the voxel size for CBCT data. The maximum differences were mainly found at the cervical margins and incisal edges but the general form was preserved.
conclusionMicro-CT, a modality used in dental research, provides data that can be segmented automatically, which is timesaving. AS with CBCT data enables the general form of the region of interest to be displayed. However, our AS method can still be used for metrically reliable measurements in the field of clinical dentistry if some manual refinements are applied.
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