Statistical growth modeling of longitudinal DT-MRI for regional characterization of early brain development

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Publication Type pre-print
School or College <blank>
Department <blank>
Creator Gerig, Guido
Other Author Sadeghi, Neda; Prastawa, Marcel W.; Fletcher, P. Thomas; Gilmore, John H.; Lin, Weili
Title Statistical growth modeling of longitudinal DT-MRI for regional characterization of early brain development
Date 2012-01-01
Description A population growth model that represents the growth trajectories of individual subjects is critical to study and understand neurodevelopment. This paper presents a framework for jointly estimating and modeling individual and population growth trajectories, and determining significant regional differences in growth pattern characteristics applied to longitudinal neuroimaging data. We use non-linear mixed effect modeling where temporal change is modeled by the Gompertz function. The Gompertz function uses intuitive parameters related to delay, rate of change, and expected asymptotic value; all descriptive measures which can answer clinical questions related to growth. Our proposed framework combines nonlinear modeling of individual trajectories, population analysis, and testing for regional differences. We apply this framework to the study of early maturation in white matter regions as measured with diffusion tensor imaging (DTI). Regional differences between anatomical regions of interest that are known to mature differently are analyzed and quantified. Experiments with image data from a large ongoing clinical study show that our framework provides descriptive, quantitative information on growth trajectories that can be directly interpreted by clinicians. To our knowledge, this is the first longitudinal analysis of growth functions to explain the trajectory of early brain maturation as it is represented in DTI.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 1507
Last Page 1510
Language eng
Bibliographic Citation Sadeghi, N., Prastawa, M. W., Fletcher, P. T., Gilmore, J. H., Lin, W., & Gerig, G. (2012). Statistical growth modeling of longitudinal DT-MRI for regional characterization of early brain development. Proceedings of IEEE ISBI 2012, 1507-10.
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Format Medium application/pdf
Format Extent 607,264 bytes
Identifier uspace,19175
ARK ark:/87278/s61292th
Setname ir_uspace
Date Created 2015-01-12
Date Modified 2015-01-12
ID 712773
Reference URL https://collections.lib.utah.edu/ark:/87278/s61292th
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