Paper
17 March 2006 A whole brain morphometric analysis of changes associated with pre-term birth
C. E. Thomaz, J. P. Boardman M.D., S. Counsell M.D., D. L. G. Hill, J. V. Hajnal, A. D. Edwards M.D., M. A. Rutherford M.D., D. F. Gillies, D. Rueckert
Author Affiliations +
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. E. Thomaz, J. P. Boardman M.D., S. Counsell M.D., D. L. G. Hill, J. V. Hajnal, A. D. Edwards M.D., M. A. Rutherford M.D., D. F. Gillies, and D. Rueckert "A whole brain morphometric analysis of changes associated with pre-term birth", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61445Y (17 March 2006); https://doi.org/10.1117/12.651315
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Cited by 7 scholarly publications.
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KEYWORDS
Control systems

Statistical analysis

Magnetic resonance imaging

Image registration

Image segmentation

Brain

Electronic support measures

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