Research Article

Automated Detection and Extraction of Brain Tumor from MRI Images

by  Neha Tirpude, Rashmi Welekar
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 77 - Issue 4
Published: September 2013
Authors: Neha Tirpude, Rashmi Welekar
10.5120/13383-1007
PDF

Neha Tirpude, Rashmi Welekar . Automated Detection and Extraction of Brain Tumor from MRI Images. International Journal of Computer Applications. 77, 4 (September 2013), 26-30. DOI=10.5120/13383-1007

                        @article{ 10.5120/13383-1007,
                        author  = { Neha Tirpude,Rashmi Welekar },
                        title   = { Automated Detection and Extraction of Brain Tumor from MRI Images },
                        journal = { International Journal of Computer Applications },
                        year    = { 2013 },
                        volume  = { 77 },
                        number  = { 4 },
                        pages   = { 26-30 },
                        doi     = { 10.5120/13383-1007 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2013
                        %A Neha Tirpude
                        %A Rashmi Welekar
                        %T Automated Detection and Extraction of Brain Tumor from MRI Images%T 
                        %J International Journal of Computer Applications
                        %V 77
                        %N 4
                        %P 26-30
                        %R 10.5120/13383-1007
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Image segmentation algorithms and techniques find its applications in a wide number of domains. Segmentation of brain tumor and overall internal structure of the brain is one of the main applications in the field of medical imaging. Magnetic resonance imaging (MRI) technique is one of the many imaging modalities that are available to scan and capture the internal soft tissue structures of the body. In this paper, proposed technique has been given to extract the tumor portion, successfully demarcate the tumor boundary, locate the tumor with a bounding circle and to diagnose whether the tumor is present or absent. A fuzzy clustering-based technique is proposed which helps to study & analyze the intricate structure of the brain, hence can be used as a visual analysis and a study tool.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

MRI Magnetic resonance imaging image segmentation fuzzy clustering thresholding

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