Spatiotemporal modeling of distribution-valued data applied to DTI tract evolution in infant neurodevelopment

Anuja Sharma, P. Thomas Fletcher, John H. Gilmore, Maria L. Escolar, Avantika Vardhan, Aditya Gupta, Martin Styner, Guido Gerig

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

    Abstract

    This paper proposes a novel method that extends spatiotemporal growth modeling to distribution-valued data. The method relaxes assumptions on the underlying noise models by considering the data to be represented by the complete probability distributions rather than a representative, single-valued summary statistics like the mean. When summarizing by the latter method, information on the underlying variability of data is lost early in the process and is not available at later stages of statistical analysis. The concept of 'distance' between distributions and an 'average' of distributions is employed. The framework quantifies growth trajectories for individuals and populations in terms of the complete data variability estimated along time and space. Concept is demonstrated in the context of our driving application which is modeling of age-related changes along white matter tracts in early neurodevelopment. Results are shown for a single subject with Krabbe's disease in comparison with a normative trend estimated from 15 healthy controls.

    Original languageEnglish (US)
    Title of host publicationISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
    Subtitle of host publicationFrom Nano to Macro
    Pages684-687
    Number of pages4
    DOIs
    StatePublished - 2013
    Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States
    Duration: Apr 7 2013Apr 11 2013

    Publication series

    NameProceedings - International Symposium on Biomedical Imaging
    ISSN (Print)1945-7928
    ISSN (Electronic)1945-8452

    Other

    Other2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
    CountryUnited States
    CitySan Francisco, CA
    Period4/7/134/11/13

    Keywords

    • Mallow's distance
    • diffusion tensor imaging
    • distribution-valued data
    • early neurodevelopment
    • spatiotemporal growth trajectory

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Radiology Nuclear Medicine and imaging

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