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Segmentation of ventricles in Alzheimer MR images using Tukey's biweight edge indicator and level set method
Published in Institute of Electrical and Electronics Engineers Inc.
2014
Volume: 2014-December
   
Abstract
Alzheimer's disease is a complex neurological disorder that leads to ventricle enlargement and whole brain shrinkage. In this work, an attempt has been made to segment ventricles in both normal and Alzheimer MR images using Tukey's biweight anisotropic diffusion filtering and modified distance regularized level set method. Geometric features are extracted from the segmented ventricles and analyzed statistically. Results show that the proposed level set method is able to segment ventricles in both normal and Alzheimer conditions. Tukey's biweight anisotropic diffusion filtering is able to provide strong and continuous edges for the levelset to segment. Geometric features such as area and Euler number are found to be statistically highly significant (p<0.0001). Thus this study seems to be clinically useful. © 2014 IEEE.
About the journal
JournalData powered by TypesetProceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
ISSN1071121X
Open AccessNo
Concepts (17)
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    Anisotropy
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    Diffusion
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    Drop breakup
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    Image segmentation
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    Level measurement
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    Magnetic resonance imaging
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    Neurodegenerative diseases
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    OPTICAL ANISOTROPY
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    Alzheimer disease
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    Alzheimer's disease
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    ANISOTROPIC DIFFUSION FILTERING
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    DISTANCE REGULARIZED LEVEL SETS
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    EDGE INDICATORS
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    Geometric feature
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    Level set method
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    Neurological disorders
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    Numerical methods