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Statistical shape modelling to aid surgical planning: associations between surgical parameters and head shapes following spring-assisted cranioplasty.

Naiara Rodríguez-FlórezJan L BruseAlessandro BorghiHerman VercruysseJuling OngGreg JamesXavier PennecDavid J DunawayN U Owase JeelaniSilvia Schievano
Published in: International journal of computer assisted radiology and surgery (2017)
Population-based analysis of 3D post-operative medical images via computational statistical modelling tools allowed for detection of novel associations between surgical parameters and head shape features achieved following spring-assisted cranioplasty. The techniques described here could be extended to other cranio-maxillofacial procedures in order to assess post-operative outcomes and ultimately facilitate surgical decision making.
Keyphrases
  • decision making
  • healthcare
  • deep learning
  • metabolic syndrome
  • adipose tissue
  • optical coherence tomography