Analysis of sub-anatomic volume changes in Alzheimer brain using diffusion tensor imaging

Author

Piyush, Ranjan ; Ramakrishnan, Shankar

Author_Institution

Dept. of Appl. Mech., Indian Inst. of Technol. Madras, Chennai, India

fYear

2014

fDate

25-27 April 2014

Firstpage

1

Lastpage

2

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.

Keywords

Bayes methods; biodiffusion; biomedical MRI; brain; diseases; feature extraction; image classification; medical image processing; neurophysiology; ADNI database; Alzheimer brain; Alzheimer disease subjects; Naive Bayes algorithm; atlas based approach; classification approach; diffusion tensor imaging; estimated volume feature; hypothalamus; normal control images; posterior cingulate; subanatomic volume changes; temporal lobe; thalamus; volume reduction; voxel analysis; Dementia; Diffusion tensor imaging; Pathology; Temporal lobe; Tensile stress; Alzheimer disease; classification; diffusion tensor imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference (NEBEC), 2014 40th Annual Northeast

Conference_Location

Boston, MA

Type

conf

DOI

10.1109/NEBEC.2014.6972906

Filename

6972906