Work place: Indian Institute of Technology, Roorkee, India
Research Interests: Medical Image Computing, Image Processing, Image Manipulation, Image Compression, Medical Informatics
Prateek Keserwani was born in Allahabad, Uttar Pradesh, India on November 7th 1987. He was awarded a degree of M.Tech. in Computer Technology from Department of Electronics and Communication, University of Allahabad, Allahabad, India on 2015. Presently he is pursuing for Ph.D. degree from Indian Institute of Technology, Roorkee, India. His area of interest is image processing, medical image analysis and machine learning
DOI: https://doi.org/10.5815/ijigsp.2016.06.02, Pub. Date: 8 Jun. 2016
The aim of this research is to propose a methodology to classify the subjects into Alzheimer disease and normal control on the basis of visual features from hippocampus region. All three dimensional MRI images were spatially normalized to the MNI/ICBM atlas space. Then, hippocampus region was extracted from brain structural MRI images, followed by application of two dimensional Gabor filter in three scales and eight orientations for texture computation. Texture features were represented on slice by slice basis by mean and standard deviation of magnitude of Gabor response. Classification between Alzheimer disease and normal control was performed with linear support vector machine. This study analyzes the performance of Gabor texture feature along each projection (axial, coronal and sagittal) separately as well as combination of all projections. The experimental results from both single projection (axial) as well as combination of all projections (axial, coronal and sagittal), demonstrated better classification performance over other existing method. Hence, this methodology could be used as diagnostic measure for the detection of Alzheimer disease.[...] Read more.
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