6533b7d5fe1ef96bd1263df9
RESEARCH PRODUCT
Automated segmentation and description of the internal morphology of human permanent teeth by means of micro-CT
David HaberthürRuslan HlushchukThomas Gerhard WolfThomas Gerhard Wolfsubject
Micro-CTScannerComputer scienceInternal tooth morphologyAutomated segmentationRoot canal configurationImage processing610 Medicine & health03 medical and health sciences0302 clinical medicinestomatognathic systemImage Processing Computer-AssistedMedicineHumansComputer visionTooth Root610 Medicine & healthMicro ctGeneral Dentistry030304 developmental biologycomputer.programming_languagePermanent teeth0303 health sciencesbusiness.industryResearchBiomedical image analysisProcess (computing)Reproducibility of ResultsRK1-715030206 dentistryX-Ray MicrotomographyPhysiological foramen geometryPython (programming language)Dentition PermanentAutomated segmentationstomatognathic diseasesDentistryTomographyArtificial intelligenceDental Pulp Cavitybusinesscomputerdescription
High-resolution micro-computed tomography is a powerful tool to analyze and visualize the internal morphology of human permanent teeth. It is increasingly used for investigation of epidemiological questions to provide the dentist with the necessary information required for successful endodontic treatment. The aim of the present paper was to propose an image processing method to automate parts of the work needed to fully describe the internal morphology of human permanent teeth. One hundred and four human teeth were scanned on a high-resolution micro-CT scanner using an automatic specimen changer. Python code in a Jupyter notebook was used to verify and process the scans, prepare the datasets for description of the internal morphology and to measure the apical region of the tooth. The presented method offers an easy, non-destructive, rapid and efficient approach to scan, check and preview tomographic datasets of a large number of teeth. It is a helpful tool for the detailed description and characterization of the internal morphology of human permanent teeth using automated segmentation by means of micro-CT with full reproducibility and high standardization. Supplementary Information The online version contains supplementary material available at 10.1186/s12903-021-01551-x.
year | journal | country | edition | language |
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2020-10-27 |