Cited by 66Craniofacial Disorders and TreatmentsMorphological variations and asymmetryFace recognition and analysis

A new method for three-dimensional evaluation of the cranial shape and the automatic identification of craniosynostosis using 3D stereophotogrammetry

Meulstee, J.W., Verhamme, L.M., Borstlap, W.A., Van der Heijden, F., De Jong, G.A., Xi, T., Bergé, S.J., Delye, H. +1 more·2017·International Journal of Oral and Maxillofacial Surgery

Abstract

Craniosynostosis is a congenital defect which can result in abnormal cranial morphology. Three dimensional (3D) stereophotogrammetry is potentially an ideal technique for the evaluation of cranial morphology and diagnosis of craniosynostosis because it is fast and harmless. This study presents a new method for objective characterization of the morphological abnormalities of scaphocephaly and trigonocephaly patients using 3D photographs of patients and healthy controls. Sixty 3D photographs of healthy controls in the age range of 3-6 months were superimposed and scaled. Principal component analysis (PCA) was applied to find the mean cranial shape and the cranial shape variation in this normal population. 3D photographs of 20 scaphocephaly and 20 trigonocephaly patients were analysed by this PCA model to test whether cranial deformities of scaphocephaly and trigonocephaly patients could be objectively identified. PCA was used to find the mean cranial shape and the cranial shape variation in the normal population. The PCA model was able to significantly distinguish scaphocephaly and trigonocephaly patients from the normal population. 3D stereophotogrammetry in combination with the presented method can be used to objectively identify and classify the cranial shape of healthy newborns, scaphocephaly and trigonocephaly patients.

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Crossref · 10.1016/j.ijom.2017.03.017

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Authors
Meulstee, J. W., Verhamme, L. M., Borstlap, W. A., Van der Heijden, F., De Jong, G. A., Xi, T., Bergé, S. J., Delye, H., & Maal, T. J. J.
Affiliations
Radboud University Nijmegen (NL)
Corresponding author
Meulstee, J.W.
Venue
International Journal of Oral and Maxillofacial Surgery
Publisher
Elsevier BV
Published
2017-07
Volume
46
Issue
7
Pages
819-826
ISSN
0901-5027 (ISSN-L)
OpenAlex
W2605184803
Cited by
66
References
33
Citations by year
2026: 5 · 2025: 4 · 2024: 6 · 2023: 9 · 2022: 10 · 2021: 4 · 2020: 6 · 2019: 16 · 2018: 4 · 2017: 2
FWCI
5.07
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Oral and Maxillofacial Surgery (publishedVersion)
  • PubMed (publishedVersion)
  • University of Twente Research Information (publishedVersion)
  • Radboud Repository (Radboud University) (submittedVersion)
  • University of Twente Research Information (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Craniofacial Disorders and Treatments
  • Physical Sciences › Mathematics › Geometry and Topology › Morphological variations and asymmetry
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
Keywords
craniosynostosis, scaphocephaly, trigonocephaly, skull morphology, 3D stereophotogrammetry, principal component analysis, neonates, cranial shape variation
MeSH terms
Craniosynostoses, Female, Humans, Infant, Male, Photogrammetry, Prospective Studies, Case-Control Studies, Imaging, Three-Dimensional, Principal Component Analysis

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