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.
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.
| Original language | English |
|---|---|
| Pages (from-to) | 21-28 |
| Number of pages | 8 |
| Journal | Journal of Paediatric Neurosciences |
| Volume | 17 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 19 Sept 2022 |
Bibliographical note
This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for detailsKeywords
- 3D computer vision, 3D morphable models, 3D photogrammetry, craniosynostosis, outcomes, principal component analysis