Advanced Healthcare Systems
by Rohit Tanwar, S. Balamurugan, Rakesh Kumar Saini, Vishal Bharti, Premkumar Chithaluru
14Methods of MRI Brain Tumor Segmentation
Amit Verma
School of Computer Science, UPES, Dehradun, Uttarakhand, India
Abstract
Till today, doctors manually see the MR images of the tumor to predict the presence of a tumor or not based on their experience. Automatic detection of the presence of a tumor and identifying various other properties of brain tumors is still a challenge. Identifying a tumor automatically requires the segmentation of the tumor in MRIs. Researchers have developed various state-of-the-art methods to carry out the process of segmenting the brain tumor in MRI, and almost every method of segmentation can be broadly classified in two ways that are generative and descriptive models. In this chapter, the requirement and the importance of brain tumor segmentation in MRIs and the basic methods of doing brain tumor segmentation are discussed. Further, region-based and generative models with weighted aggregation methods for performing brain tumor segmentation using MR images are also discussed.
Keywords: MRI, brain, tumor, segmentation, generative, automatic
14.1 Introduction
Magnetic Resonance Image (MRI) is an imaging technique used for medical purposes for generating pictures of various organs and tissues of the body based on strong magnetic fields and radio waves. MRI has proven as a great advantage for the doctors to diagnose the patient and to separate the healthy and the infected tissues. MRI is the most useful way to diagnose a brain tumor; for diagnosis, ...