Quantitative genetic modeling of lateral ventricular shape and volume using multi-atlas fluid image alignment in twins

Chou, Y. Y., Leporé, N., Barysheva, M., Chiang, M. C., McMahon, K., de Zubicaray, G., Meredith, M., Wright, M., Toga, A. W., & Thompson, P. M. (2008) Quantitative genetic modeling of lateral ventricular shape and volume using multi-atlas fluid image alignment in twins. In ISBI 2008. 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008. Proceedings, IEEE, Paris, France, pp. 456-459.

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Abstract

Despite substantial progress in measuring the 3D profile of anatomical variations in the human brain, their genetic and environmental causes remain enigmatic. We developed an automated system to identify and map genetic and environmental effects on brain structure in large brain MRI databases . We applied our multi-template segmentation approach ("Multi-Atlas Fluid Image Alignment") to fluidly propagate hand-labeled parameterized surface meshes into 116 scans of twins (60 identical, 56 fraternal), labeling the lateral ventricles. Mesh surfaces were averaged within subjects to minimize segmentation error. We fitted quantitative genetic models at each of 30,000 surface points to measure the proportion of shape variance attributable to (1) genetic differences among subjects, (2) environmental influences unique to each individual, and (3) shared environmental effects. Surface-based statistical maps revealed 3D heritability patterns, and their significance, with and without adjustments for global brain scale. These maps visualized detailed profiles of environmental versus genetic influences on the brain, extending genetic models to spatially detailed, automatically computed, 3D maps.

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ID Code: 85708
Item Type: Conference Paper
Refereed: No
Keywords: Lateral ventricles, MRI, Twin study
DOI: 10.1109/ISBI.2008.4541031
ISBN: 9781424420032
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2008 IEEE
Deposited On: 09 Oct 2015 05:38
Last Modified: 21 Oct 2015 05:25

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