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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/19744

Title: Computing Corpus Callosum as Biomarker for Degenerative Disorders
Authors: Kovac, Thomas
Rogmans, Sammy
Van Reeth, Frank
Issue Date: 2015
Citation: Proceedings of the 10th International Conference on Computer Vision Theory and Applications, p. 138-149
Abstract: The developed framework can automatically extract a plane with minimal corpus callosum area while simultaneously segmenting it. The method used, introduced by Ishaq, treats the corpus callosum area as a function of the plane extraction parameters and it uses deformable registration to generate a displacement field that can be used for the calculation of the corpus callosum area. Our registration framework is accelerated using CUDA, which enables researchers to benchmark huge amounts of data (patients) to test the hypothesis of the corpus callosum evolution as a biomarker for multiple degenerative disorders like e.g. Alzheimer disease and multiple sclerosis (MS).
URI: http://hdl.handle.net/1942/19744
DOI: 10.5220/0005310201380149
ISBN: 9789897580918
Category: C1
Type: Proceedings Paper
Validation: vabb, 2018
Appears in Collections: Research publications

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