Graph cuts segmentation based on multi-dimensional features for the right ventricle in cardiac MRI

Graph cuts segmentation based on multi-dimensional features for the right ventricle in cardiac MRI

The segmentation of the right ventricle in cardiac magnetic resonance imaging is a difficult task due to the blurred border and variable shape. To overcome these problems, an approach using graph cuts (GC) segmentation based on multi-dimensional local features is proposed. The features are reduced b...

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Bibliographic Details
Main Authors: Xuesong Lu, Shuang Ma, Danqing Zhao, Liman Liu
Format: Article
Language:English
Published: Wiley 2017-03-01
Series:The Journal of Engineering
Subjects:
cardiology
biomedical MRI
medical image processing
image segmentation
principal component analysis
graph cuts segmentation
cardiac MRI
right ventricle segmentation
magnetic resonance imaging
multidimensional local feature
MR image segmentation
Gabor algorithm
histogram of oriented gradient
Online Access:http://digital-library.theiet.org/content/journals/10.1049/joe.2016.0288

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http://digital-library.theiet.org/content/journals/10.1049/joe.2016.0288

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