Statistical shape analysis of metopic craniosynostosis: A preliminary study

Charlie Srivilasa*, Linping Zhao, Pravin K. Patel, Tadanori Tomita, Shu Q. Liu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

This preliminary study was conducted to explore different analytical shape methods for use in evaluating children born with cranial vault deformities. Twenty skull outlines from patients with metopic craniosynostosis were ascribed landmarks. Scale, location, and rotational factors were removed using Procrustes Analysis. A single index of severity from 0-5, with 5 being the most severe, was developed using Procrustes Distance in shape space. Skull 20 had the highest score in our data set. Principal Component Analysis was performed to determine areas of large shape variability. Principal Component 1 and 2 accounted for 86% of the shape variability which was attributed to early closure of the metopic suture. Procrustes Analysis used in combination with Procrustes Distance and Principal Component Analysis are powerful tools for the evaluation of cranial vault deformities and can be used to objectively categorize the severity of the skull deformity and outcome from surgical reconstructive surgery.

Original languageEnglish (US)
Title of host publication28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages4066-4069
Number of pages4
DOIs
StatePublished - Dec 1 2006
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
Duration: Aug 30 2006Sep 3 2006

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Other

Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Country/TerritoryUnited States
CityNew York, NY
Period8/30/069/3/06

Keywords

  • Craniosynostosis
  • Principal component analysis
  • Procrustes analysis
  • Procrustes distance
  • Shape analysis

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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