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Updated: Jul 10, 2026

Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry
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Technical validation of the Di3D stereophotogrammetry surface imaging system.

R J Winder1, T A Darvann, W McKnight

  • 1Health and Rehabilitation Sciences Research Institute, University of Ulster, Shore Road, Newtownabbey BT37 0QB, N. Ireland, United Kingdom. rj.winder@ulster.ac.uk

The British Journal of Oral & Maxillofacial Surgery
|November 6, 2007
PubMed
Summary

This study evaluated a 3D surface imaging system for accuracy. The stereophotogrammetry system demonstrated high geometric accuracy and a wide field of view for head and facial imaging.

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Photogrammetry

Background:

  • Accurate 3D surface imaging is crucial for medical applications like craniofacial analysis and surgical planning.
  • Existing systems may have limitations in geometric accuracy or field of view.

Purpose of the Study:

  • To assess the technical performance of a novel three-dimensional (3D) surface imaging system.
  • To evaluate the system's geometric accuracy and maximum field of view for head, face, and neck imaging.

Main Methods:

  • Utilized a stereophotogrammetry system to capture digital images of a textured mannequin head.
  • Performed repeated imaging at manufacturer-recommended settings for human studies.
  • Computed color-coded surface difference images and compared digital measurements with physical linear distances.

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Last Updated: Jul 10, 2026

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Main Results:

  • The 3D stereophotogrammetry system achieved a mean error of 0.057mm on 3D surfaces.
  • Repeatability error (variance) was measured at 0.0016mm.
  • Mean error in linear measurements was 0.6mm compared to manual measurements.
  • The system provided a field of view of 170 degrees horizontally and 102 degrees vertically.

Conclusions:

  • The evaluated 3D surface imaging system exhibits high geometric accuracy and repeatability.
  • The system's wide field of view is suitable for comprehensive head, face, and neck surface capture.
  • This technology holds potential for precise 3D reconstruction in medical and research applications.