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 ISBN

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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  • Cite this

    Elsheikh, S., Fish, A., Chakrabarti, R., Zhou, D., & Cercignani, M. (2017). Modeling Diffusion Directions of Corpus Callosum. In Medical Image Understanding and Analysis (MIUA 2017) (pp. 518-526). (Communications in Computer and Information Science; Vol. 723). Springer. https://doi.org/10.1007%2F978-3-319-60964-5_45