Fuzzy C-Means Clustering for Alzheimer Disease Detection from Human Brain MRI

1 Associate Professor & Research Scholar, Manonmanium Sundaranar University, Tirunelvel, India. 2 M.Phil. Research Scholar, Department Of Computer Science, PSG College Of Arts & Science, Coimbatore, India. _____________________________________________________________________________________ Abstract: Data Mining in Brain Imaging is an emerging field of high importance for providing prognosis, treatment, and a deeper understanding of how the brain functions. The field of Data Mining addresses the question of how best to use this data to discover new knowledge and improve the process of decision making. Discovering knowledge from data stored in typical alphanumeric databases, such as relational databases, has been the focal point of most of the work in database mining. The human brain has long been an area of immense fascination for researchers who believe that fully understanding its structure and functions would lead to great strides in the field of science, from biology to artificial intelligence. In this pursuit to completely understand the brain, scientists look to solve smaller and simpler problems before attempting to solve more complex ones and this is the reason the mouse brain has gained much attention from research groups from all across the scientific world. From a medical point of view, the study of the mouse brain could help in identifying and arriving at possible treatments for neurological disorders. In this research work, the Magnetic Resonance Images of Human Brain is taken to detect Alzheimer Diseases. Image obtained from Magnetic Resonance Imaging technique may consist of unwanted noises such as dots, stains or speckles etc. To overcome this, Image Smoothing technique is applied to filter the image without noise. The filtered image is then enhanced using Image Sharpening technique to improve the quality of image. After the preprocessing step, features are extracted and selected by eliminating the unpredictable information. The selected features are then classified to detect the abnormality ie., Alzheimer Disease from Brain MRI. Alzheimer Disease detected by the proposed method is one mode of technique to be used for diagnosis purpose and other provisions are there to diagnose the disease by the physicians.