A whole brain morphometric analysis of changes associated with pre-term birth

C. E. Thomaz, J. P. Boardman, S. Counsell, D. L.G. Hill, J. V. Hajnal, A. D. Edwards, M. A. Rutherford, D. F. Gillies, D. Rueckert

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Pre-term birth is strongly associated with subsequent neuropsychiatric impairment. To identify structural differences in preterm infants we have examined a dataset of magnetic resonance (MR) images containing 88 preterm infants and 19 term born controls. We have analyzed these images by combining image registration, deformation based morphometry (DBM), multivariate statistics, and effect size maps (ESM). The methodology described has been performed directly on the MR intensity images rather than on segmented versions of the images. The results indicate that the approach described makes clear the statistical differences between the control and preterm samples, showing a leave-one-out classification accuracy of 94.74% and 95.45% respectively. In addition, finding the most discriminant direction between the groups and using DBM features and ESM we are able to identify not only what are the changes between preterm and term groups but also how relatively relevant they are in terms of volume expansion and contraction.

Original languageEnglish
Title of host publicationMedical Imaging 2006
Subtitle of host publicationImage Processing
DOIs
StatePublished - 2006
Externally publishedYes
EventMedical Imaging 2006: Image Processing - San Diego, CA, United States
Duration: 13 Feb 200616 Feb 2006

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6144 III
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2006: Image Processing
Country/TerritoryUnited States
CitySan Diego, CA
Period13/02/0616/02/06

Keywords

  • Deformation-based morphometry
  • Magnetic resonance images
  • Pattern recognition
  • Statistical methods

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