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

Sylvain Gouttard, Marcel Prastawa, Elizabeth Bullitt, Weili Lin, Casey Goodlett, Guido Gerig

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish (US)
    Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings
    PublisherSpringer Verlag
    Pages321-328
    Number of pages8
    EditionPART 1
    ISBN (Print)3642042678, 9783642042676
    DOIs
    StatePublished - Jan 1 2009
    Event12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009 - London, United Kingdom
    Duration: Sep 20 2009Sep 24 2009

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 1
    Volume5761 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009
    CountryUnited Kingdom
    CityLondon
    Period9/20/099/24/09

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    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

    Cite this

    Gouttard, S., Prastawa, M., Bullitt, E., Lin, W., Goodlett, C., & Gerig, G. (2009). Constrained data decomposition and regression for analyzing healthy aging from fiber tract diffusion properties. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings (PART 1 ed., pp. 321-328). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5761 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-642-04268-3_40