Brain Tumor Detection By Using Image Processing Techniques

Abstract

Brain cancer is one of the most common from of cancer. It is a disease in which cancer ( malignant ) cells are found in the tissues of the brain. Cancer can be treated when it is detected at early stages , but people go to the doctor in its peak stages. To detect and monitor tumors we typically image the whole brain using CT or MRI scanners as prescribed by the doctor, even after the patient has gone to the doctor , it might take a day or more before the image is being analyzed by the radiologist . if the radiologist finds a suspected lesion the patient could return for another scan . However , such re-imaging is cost prohibitive and , if the initial scan was done a month ago, the lesion may have already changed , we want to replace this scenario with an imaging modality in which the machine can be programmed to detect edges in the brain so the images will be more clearly for doctors and radiologist. This could improve diagnosis , and reduce the time and cost involved in trials of new treatments. Also the time required to analyze each MRI, or CT image by the radiologist can reduce drastically , the primary objective of this project is to use image enhancement methods in matlab to detect edges in the brain by using DCT and sobel methods. Which is economically viable and help an ordinary person in diagnosing the disease.