Computing Corpus Callosum as Biomarker for Degenerative Disorders
Thomas Kovac, Sammy Rogmans, Frank Van Reeth
2015
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).
DownloadPaper Citation
in Harvard Style
Kovac T., Rogmans S. and Van Reeth F. (2015). Computing Corpus Callosum as Biomarker for Degenerative Disorders . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-091-8, pages 138-149. DOI: 10.5220/0005310201380149
in Bibtex Style
@conference{visapp15,
author={Thomas Kovac and Sammy Rogmans and Frank Van Reeth},
title={Computing Corpus Callosum as Biomarker for Degenerative Disorders},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={138-149},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005310201380149},
isbn={978-989-758-091-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - Computing Corpus Callosum as Biomarker for Degenerative Disorders
SN - 978-989-758-091-8
AU - Kovac T.
AU - Rogmans S.
AU - Van Reeth F.
PY - 2015
SP - 138
EP - 149
DO - 10.5220/0005310201380149