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Cortical Surface Parcellation Based on Graph Representation of Short Fiber Bundle Connections | IEEE Conference Publication | IEEE Xplore

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


Abstract:

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 ma...Show More

Abstract:

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.
Date of Conference: 08-11 April 2019
Date Added to IEEE Xplore: 11 July 2019
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Conference Location: Venice, Italy

References

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