Identification of brain tumor and extracting its’ features through processing of mri

Abstract

The abnormal growth of tissues inside the brain is known as brain tumors and they are considered as a life threatening disease. According to the cell types containing in a tumor they can be classified into two groups as Benign and malignant. Benign tumors are considered to be non-cancerous and they have a primitive shape and size. At the same time malignant tumors are considered to be cancerous and do not have clearly defined edges. Modern technology has introduced several types of imaging techniques for internal body evaluation and analysis. Among them Magnetic Resource Imaging techniques are used to analyze many diseases as they have high resolution and better quality compared to others. Using conventional methods to identify brain tumors using MRI and extracting their features are difficult as the brain is complex. Therefor image processing techniques can be used to detect brain tumors and extract features automatically and effectively. This study presents a method to detect and extract features of the brain tumors which consist of five steps: preprocessing, skull stripping, detecting tumors in axial, coronal and sagittal planes, identifying tumor location and extracting features. The outcomes of the research study will help the doctors or the medical technicians to identify the brain tumor and its features in an effective manner.