Proposed Magnetic Resonance Imaging for Brain Tumor Analysis

The field of medical imaging has evolved rapidly in the recent years, leading to a wide variety of tools to image the brain. In particular, the resolution increases in Magnetic Resonance Images (MRI) techniques and allowed for better diagnosis and studies on the brain. Currently, different modalities of MRI have been widely exploited as state of the art for diagnosing brain tumors. However, they suffer from a number of shortcomings such as effective segmentation of the brain components into sub-compartments, noise acquisition from the equipment, ambient noise from the environment, presence of background tissue, other organs, breathing motion, and anatomical influences such as body fat. This study investigates different MRI techniques for brain tumor, and proposed a framework for analyzing tumor-bearing brain images automatically. The motivation behind this work is to increase patient safety by providing better and more precised data for medical decisions.