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 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.
Más información
Título según WOS: | CORTICAL SURFACE PARCELLATION BASED ON GRAPH REPRESENTATION OF SHORT FIBER BUNDLE CONNECTIONS |
Título de la Revista: | 2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) |
Editorial: | IEEE |
Fecha de publicación: | 2019 |
Página de inicio: | 1479 |
Página final: | 1482 |
Notas: | ISI |