Automated segmentation and description of the internal morphology of human permanent teeth by means of micro-CT

Haberthür, David; Hlushchuk, Ruslan; Wolf, Thomas Gerhard (2021). Automated segmentation and description of the internal morphology of human permanent teeth by means of micro-CT. BMC Oral Health, 21(1), p. 185. BioMed Central 10.1186/s12903-021-01551-x

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Anatomy > Functional Anatomy
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Anatomy > Topographical and Clinical Anatomy
04 Faculty of Medicine > School of Dental Medicine > Department of Preventive, Restorative and Pediatric Dentistry

UniBE Contributor:

Haberthür, David; Hlushchuk, Ruslan and Wolf, Thomas Gerhard

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1472-6831

Publisher:

BioMed Central

Language:

English

Submitter:

David Christian Haberthür

Date Deposited:

10 May 2021 09:29

Last Modified:

16 May 2021 03:04

Publisher DOI:

10.1186/s12903-021-01551-x

PubMed ID:

33845806

BORIS DOI:

10.48350/155826

URI:

https://boris.unibe.ch/id/eprint/155826

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