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Brain Tumor Extraction from T1- Weighted MRI using Co-clustering and Level Set Methods
S.Satheesh, K.V.S.V.R Prasad, K.Jitender Reddy
Pages - 219 - 226     |    Revised - 05-04-2013     |    Published - 30-04-2013
Volume - 7   Issue - 2    |    Publication Date - April 2013  Table of Contents
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KEYWORDS
Magnetic Resonance Imaging, Tumor Extraction, Co-clustering Method, Level Set Method.
ABSTRACT
The aim of the paper is to propose effective technique for tumor extraction from T1-weighted magnetic resonance brain images with combination of co-clustering and level set methods. The co-clustering is the effective region based segmentation technique for the brain tumor extraction but have a drawback at the boundary of tumors. While, the level set without re-initialization which is good edge based segmentation technique but have some drawbacks in providing initial contour. Therefore, in this paper the region based co-clustering and edge-based level set method are combined through initially extracting tumor using co-clustering and then providing the initial contour to level set method, which help in cancelling the drawbacks of co-clustering and level set method. The data set of five patients, where one slice is selected from each data set is used to analyze the performance of the proposed method. The quality metrics analysis of the proposed method is proved much better as compared to level set without re-initialization method.
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Mr. S.Satheesh
Dept. of ECE, G. Narayanamma Institute of Technology and Science, Hyderabad, India. - India
satheesh.s17@gmail.com
Dr. K.V.S.V.R Prasad
Dept. of ECE, D.M.S.S.V.H. College of Engineering, Machilipatnam, India. - India
Dr. K.Jitender Reddy
Dept. of Radiology and Imaging Sciences, Apollo Health City, Hyderabad, India. - India