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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Vydané v:	Proceedings (International Symposium on Biomedical Imaging) s. 178 - 181
Hlavní autori:	Vazquez, Andrea, Lopez-Lopez, Narciso, Labra, Nicole, Figueroa, Miguel, Poupon, Cyril, Mangin, Jean-Francois, Hernandez, Cecilia, Guevara, Pamela
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.04.2019
Predmet:	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
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