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Title: Modeling diffusion directions of Corpus Callosum
Authors: Elsheikh, Safa
Fish, Andrew
Chakrabarti, Roma
Zhou, Diwei
Cercignani, Mara
Keywords: Diffusion tensor imaging
Multiple Sclerosis
von Mises-Fisher
Corpus Callosum
Mean directions
Issue Date: 2017
Publisher: © Springer Verlag (Germany)
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.
Series/Report no.: Communications in Computer and Information Science; 723
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.
Description: 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
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/25002
Publisher Link: https://doi.org/10.1007/978-3-319-60964-5_45
ISSN: 1865-0929
Appears in Collections:Conference Papers and Presentations (Maths)

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