BRAIN TUMOR DETECTION IN MRI USING MORPHOLOGICAL OPERATIONS BASED IMAGE SEGMENTATION
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.5, No. 4)Publication Date: 2016-04-30
Authors : Raman Chadha; Shivani Thakur; Jasmeet Kaur;
Page : 280-285
Keywords : KEYWORDS: Detection; Magnetic Resonance Imaging; segmentation; skull stripping; morphological operations.;
Abstract
Brain is the most important part in the human body. It is also the most significant element of CNS (Central Nervous System). The brain tumor is the abnormal growth which is caused by cells that grows in uncontrolled manner inside the skull. There are many factors that determine how the brain tumor effects the normal functioning of human body. Among these factors, the location of tumor is one of the most important factors. Thus, the detection of tumor is main objective of the system. It plays a vital role in biomedical system. For the detection of tumor, image processing particularly image segmentation is used. CT (Computed Tomography) scan and MRI (Magnetic Resonance Imaging) are two methods used for imaging of brain tumor. In this paper, MRI brain image is used for the process of tumor detection. This system involves test the brain image process, image filtering, skull stripping, segmentation, morphological operations, and calculation of tumor area and detection of tumor location. The detailed procedures are implemented using MATLAB. MRI gives exact location of tumor and it proves very helpful for doctors for further diagnosis and surgery.
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Last modified: 2016-04-10 13:55:03