Automatic Segmentation of Corpus Callosum in Midsagittal Based on Bayesian Inference Consisting of Sparse Representation Error and Multi-Atlas Voting

Automatic Segmentation of Corpus Callosum in Midsagittal Based on Bayesian Inference Consisting of Sparse Representation Error and Multi-Atlas Voting

In this paper, we introduce a novel automatic method for Corpus Callosum (CC) in midsagittal plane segmentation. The robust segmentation of CC in midsagittal plane is key role for quantitative study of structural features of CC associated with various neurological disorder such as epilepsy, autism,...

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Bibliographic Details
Main Authors: Gilsoon Park, Kichang Kwak, Sang Won Seo, Jong-Min Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-09-01
Series:Frontiers in Neuroscience
Subjects:
corpus callosum
segmentation
sparse representation
multi-atlas voting
Bayesian inference
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2018.00629/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2018.00629/full

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