Nose approximation among South African groups from cone-beam computed tomography (CBCT) using a new computer-assisted method based on automatic landmarking

A. F. Ridel*, F. Demeter, E. N. L'abbé, D. vandermeulen, A. C. Oettlé

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Considering the high demand for the identification of unknown remains in South Africa, a need exists to establish reliable facial approximation techniques that will take into account sex and age and, most importantly, be useful within the South African context. This study aimed to provide accurate statistical models for predicting nasal soft-tissue shape from information about the underlying skull subtract among a South African sample. The database containing 200 cone-beam computer tomography (CBCT) scans (100 black South Africans and 100 white South Africans). The acquisition and extraction of the 3D relevant anatomical structures (hard- and soft-tissue) were performed by an automated three-dimensional (3D) method based on an automatic dense landmarking procedure using MeVisLab

Original languageEnglish
Article number110357
JournalForensic Science International
Volume313
DOIs
Publication statusPublished - Aug 2020

Keywords

  • Non-rigid registration procedure
  • Predictions errors
  • Shape variation
  • South African standards
  • Statistical models

Fingerprint

Dive into the research topics of 'Nose approximation among South African groups from cone-beam computed tomography (CBCT) using a new computer-assisted method based on automatic landmarking'. Together they form a unique fingerprint.

Cite this