Virtual reconstruction of midface defects using statistical shape models

Wiebke Semper-Hogg, Marc Anton Fuessinger, Steffen Schwarz, Edward Ellis, Carl Peter Cornelius, Florian Probst, Marc Christian Metzger, Stefan Schlager

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

Purpose This study evaluates the accuracy of a statistical shape model (SSM) for virtual fracture reconstruction of the lateral midface. Materials and methods A uniform bony defect of the right zygoma was created. A virtual reconstruction was performed by using the standard procedure of mirroring the unaffected to the affected side (Group I) and by using the statistical model based on 178 pathologically unaffected CT scans (Group II). The accuracy of the statistical shape model was evaluated in comparison to the present mirroring protocol. The reconstructed region was compared with the original bone evaluating the mean deviation of both surfaces. Results All zygomas could be reconstructed with all methods. On the affected side the mean deviation was 1.10 mm ± 0.23 mm in group I and 0.85 mm ± 0.26 mm in group II. The differences between the groups were significant. Conclusion SSM offers a more precise reconstruction of midface defects than mirroring procedures. As an additional element SSM could automatize the CAS workflow in many respects.

Original languageEnglish (US)
Pages (from-to)461-466
Number of pages6
JournalJournal of Cranio-Maxillofacial Surgery
Volume45
Issue number4
DOIs
StatePublished - Apr 1 2017

Keywords

  • Computer-assisted surgery (CAS)
  • Fracture reconstruction
  • Midface defect
  • Statistical shape model (SSM)

ASJC Scopus subject areas

  • Surgery
  • Oral Surgery
  • Otorhinolaryngology

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  • Cite this

    Semper-Hogg, W., Fuessinger, M. A., Schwarz, S., Ellis, E., Cornelius, C. P., Probst, F., Metzger, M. C., & Schlager, S. (2017). Virtual reconstruction of midface defects using statistical shape models. Journal of Cranio-Maxillofacial Surgery, 45(4), 461-466. https://doi.org/10.1016/j.jcms.2016.12.020