Skip to main content
Top
Published in: BMC Oral Health 1/2021

Open Access 01-12-2021 | Research

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

Authors: David Haberthür, Ruslan Hlushchuk, Thomas Gerhard Wolf

Published in: BMC Oral Health | Issue 1/2021

Login to get access

Abstract

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.
Appendix
Available only for authorised users
Literature
10.
go back to reference Ordinola-Zapata R, Bramante CM, Versiani MA, Moldauer BI, Topham G, Gutmann JL, et al. Comparative accuracy of the Clearing Technique, CBCT and Micro-CT methods in studying the mesial root canal configuration of mandibular first molars. Int Endod J. 2017;50:90–6. https://doi.org/10.1111/iej.12593.CrossRefPubMed Ordinola-Zapata R, Bramante CM, Versiani MA, Moldauer BI, Topham G, Gutmann JL, et al. Comparative accuracy of the Clearing Technique, CBCT and Micro-CT methods in studying the mesial root canal configuration of mandibular first molars. Int Endod J. 2017;50:90–6. https://​doi.​org/​10.​1111/​iej.​12593.CrossRefPubMed
18.
go back to reference Feller J, editor. Perspectives on free and open source software. Cambridge: MIT Press; 2005. Feller J, editor. Perspectives on free and open source software. Cambridge: MIT Press; 2005.
21.
go back to reference Kluyver T, Ragan-Kelley B, Pérez F, Granger B, Bussonnier M, Frederic J, et al. Jupyter Notebooks—a publishing format for reproducible computational workflows. In: Loizides F, Scmidt B, editors., et al., Positioning and power in academic publishing: players, agents and agendas. Amsterdam: IOS Press; 2016. p. 87–90. https://doi.org/10.3233/978-1-61499-649-1-87.CrossRef Kluyver T, Ragan-Kelley B, Pérez F, Granger B, Bussonnier M, Frederic J, et al. Jupyter Notebooks—a publishing format for reproducible computational workflows. In: Loizides F, Scmidt B, editors., et al., Positioning and power in academic publishing: players, agents and agendas. Amsterdam: IOS Press; 2016. p. 87–90. https://​doi.​org/​10.​3233/​978-1-61499-649-1-87.CrossRef
30.
go back to reference Seabold S, Perktold J. statsmodels: Econometric and statistical modeling with python. In: 9th Python in science conference. 2010. Seabold S, Perktold J. statsmodels: Econometric and statistical modeling with python. In: 9th Python in science conference. 2010.
Metadata
Title
Automated segmentation and description of the internal morphology of human permanent teeth by means of micro-CT
Authors
David Haberthür
Ruslan Hlushchuk
Thomas Gerhard Wolf
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Oral Health / Issue 1/2021
Electronic ISSN: 1472-6831
DOI
https://doi.org/10.1186/s12903-021-01551-x

Other articles of this Issue 1/2021

BMC Oral Health 1/2021 Go to the issue