Brain Tumor Location Identification and Patient Observation from MRI Images

Many patients are dying day after day due to the hypothetical treatment of brain tumors. Brain tumor detection and location identification are very ticklish and time-consuming task in biomedical image processing due to the complex structure of the brain. It is an important factor for detecting the tumor at the early stage that prevents the death from this epidemic disease. One of the most used and popular for the brain tumor diagnosis system is Magnetic Resonance Imaging (MRI) but it is a manual and time-consuming approach. In this research, an automated system has proposed to detect, locate and observe the tumor area in the patient brain. In the tumor extraction stage, the morphological operation based and marker control watershed segmentation methods used to extract the affected region from brain hemisphere through some additional step like filtrations and noise removal. In the tumor location identification stage, the brain hemisphere divided into four parts and compared among them by counting the pixels value that gave the proper location of the tumor in the hemisphere of the brain. Finally, this research study proposed a patient observation technique that compared the tumor growth of patient in timely.