Abstract: Medical image processing is one of the most emerging and challenging field now-a-days. Magnetic Resonance Imaging (MRI) is an imaging technique which uses a magnetic field and radio-frequency waves to create detailed images of the organs and tissues within the body. Important diagnostic information can be obtained by processing of MRI images. Brain tumours are generally an abnormal intra-cranial growth caused by cells reproducing themselves in an uncontrolled manner. Early detection of cancers caused due to tumours can be helpful in curing the disease completely. The proposed technique is used to detect brain tumour and oedema from MRI scans using bounding box symmetry method. This technique incorporates noise removal functions (High-pass and Median filters), segmentation and morphological operations. This method is generally used to know the severity of the disease in terms of size of the tumour. This technique is also applied for detecting oedema in tissues.

Keywords: Magnetic Resonance Imaging, Brain Tumour, Oedema, Bounding Box Technique, Threshold Segmentation, Morphological Operation.