Parallel Optimization of Fiber Bundle Segmentation for Massive Tractography Datasets

We present an optimized algorithm that performs automatic classification of white matter fibers based on a multi-subject bundle atlas. We implemented a parallel algorithm that improves upon its previous version in both execution time and memory usage. Our new version uses the local memory of each pr...

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Bibliographic Details

Published in:	Proceedings (International Symposium on Biomedical Imaging) pp. 178 - 181
Main Authors:	Vazquez, Andrea, Lopez-Lopez, Narciso, Labra, Nicole, Figueroa, Miguel, Poupon, Cyril, Mangin, Jean-Francois, Hernandez, Cecilia, Guevara, Pamela
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.04.2019
Subjects:	bundle atlas fiber tractography Image segmentation Measurement multi-core Optimization Parallel algorithm Parallel algorithms Random access memory White matter white matter segmentation
ISSN:	1945-8452
Online Access:	Get full text
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