International Journal of Legal Medicine

, Volume 121, Issue 6, pp 469–475

Assessment of the accuracy of three-dimensional manual craniofacial reconstruction: a series of 25 controlled cases

  • Gérald Quatrehomme
  • Thierry Balaguer
  • Pascal Staccini
  • Véronique Alunni-Perret
Original Article

DOI: 10.1007/s00414-007-0197-z

Cite this article as:
Quatrehomme, G., Balaguer, T., Staccini, P. et al. Int J Legal Med (2007) 121: 469. doi:10.1007/s00414-007-0197-z

Abstract

The aim of this work was to estimate the accuracy of craniofacial reconstruction (CFR), from a series of 25 controlled cases. Three protocols of blind CFRs (exhibiting an increasing complexity from A to C) were assessed in this paper, allowing comparison of the CFR with the actual face of the deceased. The whole results showed that an excellent, or good, to middle resemblance (between the blind CFR and the actual face of the subject) was reached in 9 out of 25 cases, but the success gradually increased from the A to the C protocol of CFR, reaching six cases out of eight in the latter. Statistical comparison of measurements (between the blind CFR and the actual face) was also achieved, revealing that some anthropological distances were constantly underestimated or overestimated. This experiment shows that a thorough anthropological, odontological, and X-ray analysis is indispensable before performing a CFR, and these encouraging results justify further efforts of research in this field.

Keywords

Cranio-facial reconstructionFacial reconstructionFacial approximationForensicAutopsyAnthropologySkull

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • Gérald Quatrehomme
    • 1
  • Thierry Balaguer
    • 2
  • Pascal Staccini
    • 3
  • Véronique Alunni-Perret
    • 1
  1. 1.Laboratoire de Médecine Légale et Anthropologie médico-légale, Faculté de Médecine, GEPITOSUniversité de Nice Sophia Antipolis, CNRS K 2943NiceFrance
  2. 2.Service de Chirurgie plastique, Centre Hospitalier Universitaire de Nice, Faculté de Médecine, GEPITOSUniversité de Nice Sophia Antipolis, CNRS K 2943NiceFrance
  3. 3.Département de BiostatistiqueInformatique médicale, et Technologies de Communication, Faculté de MédecineNiceFrance