Title :
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
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;
Conference_Titel :
Bioengineering Conference (NEBEC), 2014 40th Annual Northeast
Conference_Location :
Boston, MA
DOI :
10.1109/NEBEC.2014.6972906
