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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 5, ISSUE 7, JULY 2016

Brain Tumor Segmentation and It’s Features Extraction by using T2 Weighted Brain MRI

Priyanka Kadam, S.N. Pawar

DOI: 10.17148/IJARCCE.2016.5734

Abstract: The objective of this paper is to present a method to detect the exact location of brain tumor and its size by using the T2 weighted brain MRI. This objective has been simulated by using the MATLAB R2012 (7.14.0.739). The algorithm has been developed, which skips the areas of brain which do not suits the criteria of high intensity and high entropy; because these are the two main features of brain tumor in T2 weighted MRI. After that the image is rebuilt by using the extended maxima transformation, which helps to detect the brain tumor. The tumor size, major and minor axis length, eccentricity, Perimeter, solidity all this parameter of brain tumor region are extracted by using the region property functions. This method is very simple, fast and versatile; therefore it can be applicable to all types of 2D MRI which represent the tumors.



Keywords: Magnetic Resonance Imaging (MRI), MATLAB Software, Segmentation, Extended maxima transformation, Region property function.

How to Cite:

[1] Priyanka Kadam, S.N. Pawar, “Brain Tumor Segmentation and It’s Features Extraction by using T2 Weighted Brain MRI,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5734