Group statistics of DTI fiber bundles using spatial functions of tensor measures

Casey B. Goodlett, P. Thomas Fletcher, John H. Gilmore, Guido Gerig

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

    Abstract

    We present a framework for hypothesis testing of differences between groups of DTI fiber tracts. An anatomical, tract-oriented coordinate system provides a basis for estimating the distribution of diffusion properties. The parametrization of sampled, smooth functions is normalized across a population using DTI atlas building. Functional data analysis, an extension of multivariate statistics to continuous functions is applied to the problem of hypothesis testing and discrimination. B-spline models of fractional anisotropy (FA) and Frobenius norm measures are analyzed jointly. Plots of the discrimination direction provide a clinical interpretation of the group differences. The methodology is tested on a pediatric study of subjects aged one and two years.

    Original languageEnglish (US)
    Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings
    PublisherSpringer Verlag
    Pages1068-1075
    Number of pages8
    EditionPART 1
    ISBN (Print)354085987X, 9783540859871
    DOIs
    StatePublished - 2008
    Event11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008 - New York, NY, United States
    Duration: Sep 6 2008Sep 10 2008

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 1
    Volume5241 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008
    Country/TerritoryUnited States
    CityNew York, NY
    Period9/6/089/10/08

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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