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Analysis of sub-anatomic volume changes in Alzheimer brain using diffusion tensor imaging
Published in Institute of Electrical and Electronics Engineers Inc.
2014
Volume: 2014-December
   
Abstract
In this work, sub anatomic regions of brain are studied using diffusion tensor images. Images of normal controls (NC) and Alzheimer disease (AD) subjects were obtained from ADNI database. Volume of four regions (Thalamus, Posterior cingulate, Temporal lobe and Hypothalamus) were estimated by implementing voxel analysis and atlas based approach. All the regions showed a reduction in volume. The variation in volume was found to be significant in Temporal lobe. A classification approach using Naive Bayes algorithm was used for estimated volume feature. A accuracy of 85% was obtained with sensitivity and specificity of 85% and 80% respectively. © 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 (15)
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    Brain
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    Classification (of information)
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    Diffusion
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    Magnetic resonance imaging
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    Neurodegenerative diseases
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    TENSORS
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    Alzheimer disease
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    ANATOMIC REGIONS
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    Classification approach
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    NAIVE-BAYES ALGORITHM
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    NORMAL CONTROLS
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    Sensitivity and specificity
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    TEMPORAL LOBES
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    Volume change
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    DIFFUSION TENSOR IMAGING