posted on 2017-05-16, 10:05authored bySafa 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.
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