Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism

Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism

Fiber clustering methods are typically used in brain research to study the organization of white matter bundles from large diffusion MRI tractography datasets. These methods enable exploratory bundle inspection using visualization and other methods that require identifying brain white matter structu...

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Bibliographic Details
Main Authors: Isaac Goicovich, Paulo Olivares, Claudio Román, Andrea Vázquez, Cyril Poupon, Jean-François Mangin, Pamela Guevara, Cecilia Hernández
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Neuroinformatics
Subjects:
fiber clustering
white matter bundle
parallel computing
data parallelism
GPGPU—CUDA
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2021.727859/full

Internet

https://www.frontiersin.org/articles/10.3389/fninf.2021.727859/full

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