Brain Tumor Identification using Multi-Atlas Segmentation
M. Loganayaki1, K. Geetha2
1M. Loganayaki, Research Scholar, Department of Computer Science, Bharathiar University, Coimbatore, (Tamil Nadu), India.
2K. Geetha, Assistant Professor, Department of Computer Science, Bharathiar University, Coimbatore, (Tamil Nadu), India.
Manuscript received on 09 April 2019 | Revised Manuscript received on 14 May 2019 | Manuscript published on 30 May 2019 | PP: 1671-1676 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3259058119/19©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: A brain tumor in humans is caused by abnormal cell growth persisting in the brain. It is a life-threatening disease toa human being. Early detection ofthe tumoris the best way for a patient entering into the adverse condition of the disease. Image segmentation is the popular field in image processing to differentiate between tumor cells and normal cells. The tumor can be detected using the technique called segmentation in the field of image processing which can accurately be identified using MRI images in the field of medical images. The tumor affected region and the size of the tumor can be identified with the assistance of radiologic evaluations. Magnetic resonance imaging is a fast-growing tool in recently used to detect the defected part of the body. Principal Component Analysis (PCA) is mainly used for analysing the components from the image. Extracting components relevant to tumor detection is performed using mutual information extraction (MIE). It provides better accuracy in classifying the traumatic brain injury from the MRI images. The proposed system, Multi-atlas segmentation is done on sample digital images with tumor. The GUI is developed to accept the input image from a folder and to display the results.
Index Terms: Image Processing, Brain Tumor, Biopsy, Image Enhancement, Multi-Atlas Segmentation.
Scope of the Article: Image Processing and Pattern Recognition