Analysis of Brain Images to Detect the Alzheimer’s Disease using Segmentation Approach
R.Sampath1, A.Saradha2
1Prof. R.Sampath, Department of Information Technology, KCG College of Technology, Chennai (Tamil Nadu), India.
2Dr. A.Saradha, Associate Professor, Department of CSE, IRTT Erode (Tamil Nadu), India.
Manuscript received on 11 March 2014 | Revised Manuscript received on 20 March 2014 | Manuscript Published on 30 March 2014 | PP: 29-32 | Volume-3 Issue-10, March 2014 | Retrieval Number: J15210331014/14©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Brain image analysis is an important area under medical research. The brain image analysis results to detect brain diseases. A lot of researches are going on in medical image analysis along with this segmentation is also used in analysis of medical images. Alzheimer’s disease is the most common type of senile dementia. Low brain activity and blood flow causes greater risks for strokes or Alzheimer’s diseases. A lot of researches are going on for segmenting the medical images automatically. Hippocampus is the component of brain. It plays an important role in the normal behavior of human beings. It takes many hours for a specialist to segment the hippocampus manually. There are many techniques available for segmentation process. A modified approach based on the watershed algorithm for segmenting the hippocampus region. The brain images converted into binary form using two approaches. The first approach implements block mean, mask and labeling concepts and in the second approach tophat, mask and labeling concepts have been implemented. It is found that certain part of the image contains holes which interrupt the segmentation process. To overcome this image hole filling techniques are implemented and related components are grouped into connected components. The analysis of hippocampus structure and shape analysis will result in classifying the Alzheimer’s disease.
Keywords: Alzheimer’s Disease, MRI, Segmentation, Hippocampus.
Scope of the Article: Signal and Image Processing