P.NARENDRAN; V.K. Narendira Kumar; K. Somasundaram

3D Brain Tumors and Internal Brain Structures Segmentation in MR Images

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Author(s)

P.NARENDRAN ^1,* V.K. Narendira Kumar ² K. Somasundaram ³

1. PG & Research Department of Computer Science, Gobi Arts & Science College (Autonomous), Gobichettipalayam – 638 453, Erode District, Tamil Nadu, India.

2. Department of Information Technology, Gobi Arts & Science College (Autonomous), Gobichettipalayam – 638 453, Erode District, Tamil Nadu, India.

3. Dept. of Computer Science & Applications, Gandhigram rural university, Gandhigram – 624 302, Tamil Nadu, India.

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2012.01.05

Received: 2 Nov. 2011 / Revised: 27 Nov. 2011 / Accepted: 4 Jan. 2012 / Published: 8 Feb. 2012

Index Terms

3D, Brain, Tumor, Segmentation, MRI, Image Registration, and Brain Structures.

Abstract

The main topic of this paper is to segment brain tumors, their components (edema and necrosis) and internal structures of the brain in 3D MR images. For tumor segmentation we propose a framework that is a combination of region-based and boundary-based paradigms. In this framework,segment the brain using a method adapted for pathological cases and extract some global information on the tumor by symmetry based histogram analysis. We propose a new and original method that combines region and boundary information in two phases: initialization and refinement. The method relies on symmetry-based histogram analysis.The initial segmentation of the tumor is refined relying on boundary information of the image. We use a deformable model which is again constrained by the fused spatial relations of the structure. The method was also evaluated on 10 contrast enhanced T1-weighted images to segment the ventricles,caudate nucleus and thalamus.

Cite This Paper

P.NARENDRAN,V.K. NARENDIRA KUMAR,K. SOMASUNDARAM,"3D Brain Tumors and Internal Brain Structures Segmentation in MR Images",IJIGSP,vol.4,no.1,pp.35-43,2012. DOI: 10.5815/ijigsp.2012.01.05

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International Journal of Image, Graphics and Signal Processing (IJIGSP)