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Modeling diffusion directions of Corpus Callosum

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conference contribution
posted on 2017-05-16, 10:05 authored by Safa Elsheikh, Andrew Fish, Roma Chakrabarti, Diwei ZhouDiwei Zhou, Mara Cercignani
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.

History

School

  • Science

Department

  • Mathematical Sciences

Published in

Communications in Computer and Information Science

Citation

ELSHEIKH, S. ...et al., 2017. Modeling diffusion directions of corpus callosum. IN: Hernandez, M.V. and Gonzalez-Castro, V. (eds). Medical Image Understanding and Analysis, 21st Annual Conference, MIUA 2017, Edinburgh, UK, 11th-13th July 2017, pp. 518-526.

Publisher

© Springer Verlag (Germany)

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2017-04-19

Publication date

2017

Notes

This is a pre-copyedited version of a contribution published in Hernandez, M.V. and Gonzalez-Castro, V. (eds). Medical Image Understanding and Analysis, 21st Annual Conference, MIUA 2017 published by Springer. The definitive authenticated version is available online via https://doi.org/10.1007/978-3-319-60964-5_45

ISSN

1865-0929

Book series

Communications in Computer and Information Science; 723

Language

  • en