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Article
Applications of 3D photography in craniofacial surgery
Journal of Pediatric Neurosciences
  • Christian Duncan, Northern Craniofacial Unit, Alder Hey Children's Hospital Nhs Foundation Trust, Liverpool, United Kingdom
  • Nick E. Pears, Department of Computer Science, University of York, York, United Kingdom
  • Hang Dai, Mohamed bin Zayed University of Artificial Intelligence
  • Will A.P. Smith, Department of Computer Science, University of York, York, United Kingdom
  • Paul O′higgins, Department of Anatomy and Forensics, Hull York Medical School, United Kingdom
Document Type
Article
Abstract

Three-dimensional (3D) photography is becoming more common in craniosynostosis practice and may be used for research, archiving, and as a planning tool. In this article, an overview of the uses of 3D photography will be given, including systems available and illustrations of how they can be used. Important innovations in 3D computer vision will also be discussed, including the potential role of statistical shape modeling and analysis as an outcomes tool with presentation of some results and a review of the literature on the topic. Potential future applications in diagnostics using machine learning will also be presented. © 2022 Journal of Pediatric Neurosciences Published by Wolters Kluwer-Medknow.

DOI
10.4103/jpn.JPN_48_22
Publication Date
9-17-2022
Keywords
  • 3D computer vision,
  • 3D morphable models,
  • 3D photogrammetry,
  • craniosynostosis,
  • outcomes,
  • principal component analysis
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License: CC BY-NC-SA 4.0

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Citation Information
C. Duncan, N.E. Pears, H. Dai, W.A.P. Smith, and P. O'higgins, "Applications of 3D photography in craniofacial surgery", Journal of Pediatric Neurosciences, vol. 17(5), pp. 521-528, Sept. 2022, doi:10.4103/jpn.JPN_48_22