Brain Tumor Detection Using Scan

Abstract

Brain tumor is an abnormal mass of tissue in whic h some cells grow and multiply uncontrollably, apparently unregulated by the mechanisms that contr ol normal cells. The growth of a tumor takes up spa ce within the skull and interferes with normal brain a ctivity. So detection of the tumor is very importan t in earlier stages. Various techniques were developed for detec tion of tumor in brain. This paper focused on surve y of well-known brain tumor detection algorithms that ha ve been proposed so far to detect the location of t he tumor. The main concentration is on those techniques which use image segmentation to detect brain tumor. Thes e techniques use the MRI Scanned Images to detect the tumor in the brain. Differences between some well- known techniques are also considered in this paper. Key Terms: - Brain tumor; MRI; I. INTRODUCTION In medical imaging, 3D segmentation of images plays a vital role in stages which occur before implement ing object recognition. 3D image segmentation helps in automated diagnosis of brain diseases and helps in qualitative and quantitative analysis of images suc h as measuring accurate size and volume of detected portion. Accurate measurements in brain diagnosis are quite difficult because of diverse shapes, sizes and appearances of tumors. Tumors can grow abruptly causing defects in neighboring tissues also, which gives an overall abnormal structure for healthy tis sues as well. In this paper, we will develop a technique of 3D segmentation of a brain tumor by using segmentation in conjunction with morphological operations. A. Tumor: The word tumor is a synonym for a word neoplasm which is formed by an abnormal growth of cells Tumor is something totally different from cancer. 1) Types of Tumor: