Constrained data decomposition and regression for analyzing healthy aging from fiber tract diffusion properties

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Publication Type pre-print
School or College <blank>
Department <blank>
Creator Gerig, Guido
Other Author Gouttard, Sylvain; Prastawa, Marcel; Bullitt, Elizabeth; Lin, Weili; Goodlett, Casey
Title Constrained data decomposition and regression for analyzing healthy aging from fiber tract diffusion properties
Date 2009-01-01
Description It has been shown that brain structures in normal aging undergo significant changes attributed to neurodevelopmental and neurodegeneration processes as a lifelong, dynamic process. Modeling changes in healthy aging will be necessary to explain differences to neurodegenerative patterns observed in mental illness and neurological disease. Driving application is the analysis of brain white matter properties as a function of age, given a database of diffusion tensor images (DTI) of 86 subjects well-balanced across adulthood.We present a methodology based on constrained PCA (CPCA) for fitting age-related changes of white matter diffusion of fiber tracts. It is shown that CPCA applied to tract functions of diffusion isolates population noise and retains age as a smooth change over time, well represented by the first principal mode. CPCA is therefore applied to a functional data analysis (FDA) problem. Age regression on tract functions reveals a nonlinear trajectory but also age-related changes varying locally along tracts. Four tracts with four different tensor-derived scalar diffusion measures were analyzed, and leave-one-out validation of data compression is shown.
Type Text
Publisher Springer
Volume 5761
First Page 321
Last Page 328
Language eng
Bibliographic Citation Gouttard, S., Prastawa, M. W., Bullitt, E., Lin, W., Goodlett, C., & Gerig. G. (2009). Constrained data decomposition and regression for analyzing healthy aging from fiber tract diffusion properties.Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, Lecture Notes in Computer Science LNCS, 5761, 321-8.
Rights Management (c) Springer (The original publication is available at www.springerlink.com) ; The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-04268-3_40.
Format Medium application/pdf
Format Extent 1,171,519 bytes
Identifier uspace,19219
ARK ark:/87278/s6t4736x
Setname ir_uspace
Date Created 2015-03-06
Date Modified 2015-03-06
ID 712852
Reference URL https://collections.lib.utah.edu/ark:/87278/s6t4736x
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