Comparison of facial measurement using cone-beam computed tomography and three-dimensional photography

Kanyawan Ratanamanochai, Syrina Tantidhnazet, Somchart Raocharernporn, Peerapong Santiwong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The purpose of this study was to determine the equivalence of facial measurement between skin surface images derived from two different three-dimensional scanning systems, cone-beam computed tomography (CBCT), and structured-light system three-dimensional photogrammetry (3D photogrammetry). The study samples consisted of 35 orthodontic patients requiring orthognathic surgery. Image fusions by the registration of a 3D photograph upon a CBCT were performed. Facial landmarks and proportion were calculated on both images and compared. Statistically significant differences were observed at around the eyes, mouth, and lateral face. The non-equivalence was most likely due to the differences in facial expressions and artifacts during image acquisition. Soft tissue derived from CBCT in orthodontic patients appeared to be most likely inaccurate and unreliable for clinical uses. Future midcourse evaluations of soft tissues could be made more accurately with the 3D photogrammetry, providing an alternative method for soft-tissue evaluation with no radiation exposure.

Original languageEnglish
Title of host publicationProceedings of 2017 9th International Conference on Machine Learning and Computing, ICMLC 2017
PublisherAssociation for Computing Machinery
Pages379-384
Number of pages6
ISBN (Electronic)9781450348171
DOIs
Publication statusPublished - 24 Feb 2017
Event9th International Conference on Machine Learning and Computing, ICMLC 2017 - Singapore, Singapore
Duration: 24 Feb 201726 Feb 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F128357

Conference

Conference9th International Conference on Machine Learning and Computing, ICMLC 2017
Country/TerritorySingapore
CitySingapore
Period24/02/1726/02/17

Keywords

  • CBCT volumetric rendering
  • Facial analysis
  • Photogrammetry
  • Three-dimensional imaging

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