3D segmentation of dental crown for volumetric age estimation with CBCT imaging

Rizky Merdietio Boedi (Lead / Corresponding author), Simon Shepherd, Fahmi Oscandar, Scheila Mânica, Ademir Franco

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
35 Downloads (Pure)


In adult dental age estimation, segmentation of dental volumetric information from different tooth parts using cone-beam computed tomography (CBCT) has proven beneficial in improving the regression model reliability. This segmentation method can be expanded in the crown part since the volumetric information in the crown is affected by attrition in the enamel and secondary dentine in the dentine and pulp chamber. CBCT scans from 99 patients aged between 20 and 60 were collected retrospectively. A total of 80 eligible teeth for each tooth type were used in this study. The enamel to dentine volume ratio (EDVR), pulp to dentine volume ratio (PDVR) and sex were used as independent variables to predict chronological age (CA). The EDVR was not affected by PDVR. The highest R2 was calculated from the maxillary canine (R2 = 0.6). The current approach in crown segmentation has proven to improve model performance in anterior maxillary teeth.

Original languageEnglish
Pages (from-to)123-130
Number of pages8
JournalInternational Journal of Legal Medicine
Early online date5 Oct 2022
Publication statusPublished - Jan 2023


  • Cone-beam computed tomography
  • Dental age estimation
  • Forensic dentistry
  • Tooth attrition
  • secondary dentine

ASJC Scopus subject areas

  • Pathology and Forensic Medicine


Dive into the research topics of '3D segmentation of dental crown for volumetric age estimation with CBCT imaging'. Together they form a unique fingerprint.

Cite this