Cortical Surface Parcellation Based on Graph Representation of Short Fiber Bundle Connections

We propose a new automatic algorithm for the tractography-based parcellation of the cortical surface. The method is based on segmented bundles of the superficial white matter (SWM), calculated for each subject, using a multi-subject SWM bundle atlas. The scheme uses a fast intersection algorithm to...

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Bibliographic Details
Published inProceedings (International Symposium on Biomedical Imaging) pp. 1479 - 1482
Main Authors Silva, Felipe, Guevara, Miguel, Poupon, Cyril, Mangin, Jean-Francois, Hernandez, Cecilia, Guevara, Pamela
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2019
Subjects
Cortical parcellation
fiber tractography
graph analysis
Imaging
Mathematical model
short fibers
Sociology
Statistics
Task analysis
Three-dimensional displays
White matter
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Summary:We propose a new automatic algorithm for the tractography-based parcellation of the cortical surface. The method is based on segmented bundles of the superficial white matter (SWM), calculated for each subject, using a multi-subject SWM bundle atlas. The scheme uses a fast intersection algorithm to define cortical regions connected by each bundle and then it defines a graph representation to model the overlapping of the regions to derive the final parcellation. The algorithm was tested on one subject, and resulting parameters were applied to other 4 subjects. Results show a good correspondence between subjects.
ISSN:1945-8452
DOI:10.1109/ISBI.2019.8759580