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Brain Tumor Detection through MR Images: A Review of Segmentation Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 153 - Number 7 |
| Year of Publication: 2016 |
| Authors: Madhvi Arya, Reecha Sharma |
10.5120/ijca2016912109
|
Madhvi Arya, Reecha Sharma . Brain Tumor Detection through MR Images: A Review of Segmentation Techniques. International Journal of Computer Applications. 153, 7 ( Nov 2016), 33-37. DOI=10.5120/ijca2016912109
Abstract
In this paper, a review on computer-based methods which defines the tumor region in the brain using MRI images is discussed. Various image processing techniques are reviewed in this paper which helps to enhance the images for the computerized detection of brain tumor. Magnetic Resonance Imaging (MRI) is mostly used to obtain medical imaging with very high quality. MRI is a very advanced technique which provides very rich information about size, shape and location of brain tumors without any need to expose the patient to a high ionization radiation. In medical imaging, segmentation is used to segment abnormal tissues from normal tissues and reliable, accurate, and automatic segmentation of these structures and tissues can results in improved diagnosis and treatment of disease. Digital Image Processing provides number of methods to study bio-medical images from different aspects. The paper focuses on to provide overview for different segmentation techniques involved in brain tumor detection.
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