Detection and Segmentation of Brain Tumor from MRI Image

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-21 Number-1
Year of Publication : 2015
Authors : Shivani P.Deshmukh, Prof. Rahul D.Ghongade
  10.14445/22312803/IJCTT-V21P106

MLA

Shivani P.Deshmukh, Prof. Rahul D.Ghongade "Detection and Segmentation of Brain Tumor from MRI Image". International Journal of Computer Trends and Technology (IJCTT) V21(1):29-33, March 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Brain tumor is an abnormal intracranial growth caused by cells reproducing themselves in an uncontrolled manner. Curing cancer has been a major goal of medical researchers for decades. The early detection of cancer can be helpful in curing the disease completely. While most of the natural cells are getting old or damaged, they disappear and new cells are replaced with them. Sometimes, this process goes wrong and new cells are produced when body does not need them and the old and damaged cells don’t disappear. Therefore, the illimitable and incontrollable increase of cells causes the brain tumor creation. A brain tumor or intracranial neoplasm occurs when abnormal cells form within the brain. There are two main types of tumor : malignant or cancerous tumor and benign tumor. Cancerous tumor can be divided into primary tumors that started within the brain and those that spread from somewhere else known as brain metastasis tumor. This article deals mainly with tumor that starts within the brain. All types of brain tumor may produce symptoms that vary depending on the part of the brain involved. These may include headaches, seizures, problem with vision, vomiting, and mental changes. The headache is classically worst in the morning and goes away with vomiting. More specific problems may include difficulty in walking, speaking and with sensation. As the disease progresses unconsciousness may occur. Normally, the anatomy of brain tumor can be examined by MRI scan. MRI provide accurate visualize of anatomical structure of tissues. MRI is a one type of scanning device, which use magnetic field and radio waves. Now a days, image segmentation play vital role in medical image segmentations. The segmentation of brain tumor from magnetic resonance images (MRI) is an important task. Manual segmentation is one of the techniques for finding tumor from the MRI. In segmentation method first is pre-processing level where the extra parts which are outside the skull and don’t have any helpful information are removed and then by applying the fast bounding box (FBB) algorithm, the tumor area is displayed on the MR images.

References
1) Rohan Kandwal and Ashok Kumar “ An Automated System for Brain Tumor Detection and Segmentation”. 2) Jianping Fan,Yau Elmagarmid & Aref’s “Detection of brain tumor using threshold value of MRI images”.
3) Dzung L. Pham, Chenyang Xu, Jerry L. Prince “Brain tumor MRI image segmentation and detection in image processing”.
4) Gauri P. Anandgaonkar1, Ganesh.S.Sable “Detection and identification of brain tumor in MRI images usinf fuzzy C-means segmentation”.
5) Prof.B.K.Saptalakar and Miss. Rajeshwari.H “Segmentation Based Detection Of Brain Tumor”.
6) Kimmi Verma, Aru Mehrotra, Vijayeta Pandey, Shardendu Singh “Image Processing Technique For The Enhancement Of Brain Tumor Patterns”.

Keywords
MRI images, Matlab software