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Three-dimensional facial volume analysis using algorithm-based personalized aesthetic templates.

A Jorien Tuin1, Jene W Meulstee2, Tom G J Loonen2

  • 1Department of Oral and Maxillofacial Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

International Journal of Oral and Maxillofacial Surgery
|February 22, 2020
PubMed
Summary

A new personalized aesthetic template method accurately measures facial volume changes after procedures. This technique improves the reproducibility of sequential 3D stereophotogrammetry for aesthetic assessments.

Keywords:
3Dcoherent point driftfacial volume analysisstereophotogrammetrytemplate

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Area of Science:

  • Plastic Surgery
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Three-dimensional stereophotogrammetry is vital for assessing volumetric changes post-facial procedures.
  • Reproducing specific facial areas in sequential images is challenging due to a lack of clear landmarks.

Purpose of the Study:

  • To develop and evaluate a novel three-dimensional volumetric analysis method using a personalized aesthetic template.
  • To assess the accuracy and reproducibility of this new method for analyzing changes in aesthetic facial regions.

Main Methods:

  • A standardized aesthetic template was morphed onto baseline 3D stereophotogrammetry images using a coherent point drift algorithm.
  • The personalized template was projected onto sequential images to calculate surface area and volume differences.
  • Root mean square errors were computed to quantify measurement accuracy.

Main Results:

  • Mean average surface area and volume differences between baseline images were minimal (-7.6mm² to 10.1mm² and -0.11cm³ to 0.13cm³).
  • Root mean square errors at baseline ranged from 0.24mm to 0.62mm, indicating high accuracy.
  • Comparable results were observed for follow-up images, with volume changes primarily linked to body weight fluctuations.

Conclusions:

  • Personalized aesthetic templates offer an accurate and reproducible approach for assessing volumetric changes in specific facial areas.
  • This method enhances the reliability of 3D stereophotogrammetry in clinical aesthetic evaluations.