Call For Paper Volume:8 Issue:12 Dec'2021 |

A Survey about Brain Tumor Detection Techniques by using the Magnetic Resonance Imaging (MRI)

Publication Date : 08/09/2018

DOI : 10.21884/IJMTER.2018.5195.AMGTV

Author(s) :

Iman Hussein AL-Qinani.

Volume/Issue :
Volume 5
Issue 8
(09 - 2018)

Abstract :

Many people worldwide are suffering from brain tumors. A brain tumor is a very serious disease. For instance, many people die due to having it. It is not restricted for people who are old. In fact, many young people suffer from it. Such a tumor refers to the abnormal growth of cell within the brain cranium. Such growth shall negatively affect the brain’s functions. It should be noted that most of the people who have brain tumor die because their tumor isn’t detected. Brain tumor can be detected through using positron emission tomography (PET), X-ray, magnetic resonance imaging (MRI), computed tomography (CT). It can be also detected through using medical ultrasonography, and single-photon emission computed tomography (SPECT). Through this study, the image processing techniques are employed through using the magnetic resonance image (MRI). They are employed to detect brain tumors. The MRI technique provides health workers with high quality images for the body parts. This technique is often used when treating patients who suffer from tumors. In order to locate the area that has a brain tumor, separation of cells from the nuclei is necessary. That can be done through segmenting the image. There are different techniques and algorithms that can be used for segmentation. Manual segmentation of many MRI images of brain tumors is uneasy and takes a long time. Thus, segmentation the brain tumor automatically is necessary. The aimed of this study to submit a review of the methods of brain tumor segmentation based on MRI. Thus, the researcher aimed to examine some of the algorithms that are proposed for image segmentation.

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A Survey about Brain Tumor Detection Techniques by using the Magnetic Resonance Imaging (MRI)

August 31, 2018