Spatio-temporal analysis of early brain development

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Publication Type pre-print
School or College <blank>
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Creator Gerig, Guido
Other Author Sadeghi, Neda; Prastawa, Marcel; Gilmore, John H.; Lin, Weili
Title Spatio-temporal analysis of early brain development
Date 2010-01-01
Description Analysis of human brain development is a crucial step for improved understanding of neurodevelopmental disorders. We focus on normal brain development as is observed in the multimodal longitudinal MRI/DTI data of neonates to two years of age. We present a spatio-temporal analysis framework using Gompertz function as a population growth model with three different spatial localization strategies: voxel-based, data driven clustering and atlas driven regional analysis. Growth models from multimodal imaging channels collected at each voxel form feature vectors which are clustered using the Dirichlet Process Mixture Models (DPMM). Clustering thus combines growth information from different modalities to subdivide the image into voxel groups with similar properties. The processing generates spatial maps that highlight the dynamic progression of white matter development. These maps show progression of white matter maturation where primarily, central regions mature earlier compared to the periphery, but where more subtle regional differences in growth can be observed. Atlas based analysis allows a quantitative analysis of a specific anatomical region, whereas data driven clustering identifies regions of similar growth patterns. The combination of these two allows us to investigate growth patterns within an anatomical region. Specifically, analysis of anterior and posterior limb of internal capsule show that there are different growth trajectories within these anatomies, and that it may be useful to divide certain anatomies into subregions with distinctive growth patterns.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 777
Last Page 781
Language eng
Bibliographic Citation Sadeghi, N., Prastawa, M., Gilmore, J. H., Lin, W., & Gerig, G. (2010). Spatio-temporal analysis of early brain development. Proceedings IEEE Asilomar Conference on Signals, 777-81.
Rights Management (c) 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 1,174,252 bytes
Identifier uspace,19213
ARK ark:/87278/s6jx1q19
Setname ir_uspace
Date Created 2015-01-30
Date Modified 2021-05-06
ID 712792
Reference URL https://collections.lib.utah.edu/ark:/87278/s6jx1q19
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