文章基本信息

标题：Classification of Alzheimer Disease using Gabor Texture Feature of Hippocampus Region
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作者：Prateek Keserwani ; V. S. Chandrasekhar Pammi ; Om Prakash 等
期刊名称：International Journal of Image, Graphics and Signal Processing
印刷版ISSN：2074-9074
电子版ISSN：2074-9082
出版年度：2016
卷号：8
期号：6
页码：13-20
DOI：10.5815/ijigsp.2016.06.02
出版社：MECS Publisher
摘要：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.
关键词：Alzheimer disease (AD);Support Vector Machine (SVM);Gabor filter;MRI images