A statistical model of head asymmetry in infants with deformational plagiocephaly

Stéphanie Lanche, Trori A. Darvann, Hildur Ólafsdóttir, Nuno V. Hermann, Andrea E. Van Pelt, Daniel Govier, Marissa J. Tenenbaum, Sybill Naidoo, Per Larsen, Sven Kreiborg, Rasmus Larsen, Alex A. Kane

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

17 Scopus citations

Abstract

Deformational plagiocephaly is a term describing cranial asymmetry and deformation commonly seen in infants. The purpose of this work was to develop a methodology for assessment and modelling of head asymmetry. The clinical population consisted of 38 infants for whom 3-dimensional surface scans of the head had been obtained both before and after their helmet orthotic treatment. Non-rigid registration of a symmetric template to each of the scans provided detailed point correspondence between scans. A new asymmetry measure was defined and was used in order to quantify and localize the asymmetry of each infant's head, and again employed to estimate the improvement of asymmetry after the helmet therapy. A statistical model of head asymmetry was developed (PCA). The main modes of variation were in good agreement with clinical observations, and the model provided an excellent and instructive quantitative description of the asymmetry present in the dataset.

Original languageEnglish (US)
Title of host publicationImage Analysis - 15th Scandinavian Conference, SCIA 2007, Proceedings
PublisherSpringer Verlag
Pages898-907
Number of pages10
ISBN (Print)9783540730392
DOIs
StatePublished - 2007
Event15th Scandinavian Conference on Image Analysis, SCIA 2007 - Aalborg, Denmark
Duration: Jun 10 2007Jun 14 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4522 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th Scandinavian Conference on Image Analysis, SCIA 2007
Country/TerritoryDenmark
CityAalborg
Period6/10/076/14/07

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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