Longitudinal growth modeling of discrete-time functions with application to DTI tract evolution in early neurodevelopment

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Publication Type pre-print
School or College <blank>
Department <blank>
Creator Gerig, Guido
Other Author Sharma, Anuja; Durrleman, Stanley; Gilmore, John H.
Title Longitudinal growth modeling of discrete-time functions with application to DTI tract evolution in early neurodevelopment
Date 2012-01-01
Description We present a new framework for spatiotemporal analysis of parameterized functions attributed by properties of 4D longitudinal image data. Our driving application is the measurement of temporal change in white matter diffusivity of fiber tracts. A smooth temporal modeling of change from a discrete-time set of functions is obtained with an extension of the logistic growth model to time-dependent spline functions, capturing growth with only a few descriptive parameters. An unbiased template baseline function is also jointly estimated. Solution is demonstrated via energy minimization with an extension to simultaneous modeling of trajectories for multiple subjects. The new framework is validated with synthetic data and applied to longitudinal DTI from 15 infants. Interpretation of estimated model growth parameters is facilitated by visualization in the original coordinate space of fiber tracts.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 1397
Last Page 1400
Language eng
Bibliographic Citation Sharma, A., Durrleman, S., Gilmore, J. H., & Gerig, G. (2012). Longitudinal growth modeling of discrete-time functions with application to DTI tract evolution in early neurodevelopment. Proceedings of IEEE ISBI 2012, 1397-400.
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Format Medium application/pdf
Format Extent 726,941 bytes
Identifier uspace,19176
ARK ark:/87278/s65t6vng
Setname ir_uspace
Date Created 2015-01-12
Date Modified 2015-01-12
ID 712764
Reference URL https://collections.lib.utah.edu/ark:/87278/s65t6vng
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