Modeling Diffusion Directions of Corpus Callosum

Safa Elsheikh, Andrew Fish, Roma Chakrabarti, Diwei Zhou, Mara Cercignani

    Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

    Abstract

    Diffusion tensor imaging (DTI) has been used to study the
    characteristics of Multiple sclerosis (MS) in the brain. The von mises
    Fisher distribution (vmf) is a probability distribution for modeling directional
    data on the unit hypersphere. In this paper we modeled the
    diffusion directions of the Corpus Callosum (CC) as a mixture of vmf
    distributions for both MS subjects and healthy controls. Higher diffusion
    concentration around the mean directions and smaller sum of angles between
    the mean directions are observed on the normal-appearing CC of
    the MS subjects as compared to the healthy controls.
    Original languageEnglish
    Title of host publication Medical Image Understanding and Analysis (MIUA 2017)
    Place of PublicationCham
    PublisherSpringer
    Pages518-526
    Number of pages9
    ISBN (Electronic)9783319609645
    ISBN (Print)9783319609638
    DOIs
    Publication statusPublished - 22 Jun 2017

    Publication series

    NameCommunications in Computer and Information Science
    PublisherSpringer
    Volume723
    ISSN (Electronic)1865-0929

    Bibliographical note

    This is a post-peer-review, pre-copyedit version of an article published in Communications in Computer and Information Science. The final authenticated version is available online at: http://dx.doi.org/10.1007%2F978-3-319-60964-5_45

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