Detection of Roi for Classifying Alzheimer’s Disease Using Mr. Image of Brain
M. Latha1, S. Arun2
1M.Latha, Assistant Professor, Vels Institute of Science Technology, & Advanced Studies VISTAS Chennai (Tamil Nadu), India.
2S.Arun, Associate Professor, Vels Institute of Science Technology, & Advanced Studies VISTAS Chennai (Tamil Nadu), India
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 740-745 | Volume-8 Issue-5, March 2019 | Retrieval Number: E3351038519/19©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: The Alzheimer’s disease is a brain disorder that affects human memory, thinking and behavior. The brain damage can be detected using brain volume and whole brain form. The complete cure has not been discovered yet and the detection of AD in an early stage helps to slow down the disease. Its progression develops in various stages as MCI, Dementia and AD. A CAD tool for diagnosing AD using structural Magnetic Resonance Image (MRIs) has been proposed. It uses information from Gray Matter (GM) and White Matter (WM) tissue distribution in the brain. Images have been resized and Median filter has been used for removing noise from images and as a preprocessing step. Morphological operations has been done and shown as a binary image and ROI analysis were performed on both white and grey matter tissues. It can be analyzed by the image resulting from the registered image.
Keyword: Alzheimer’s Disease, Classification, MRI, Segmentation, Feature Extraction, Support Vector Machine.
Scope of the Article: Classification