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

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Author(s): P.NARENDRAN | V.K. NARENDIRA KUMAR | K. SOMASUNDARAM

Journal: International Journal of Image, Graphics and Signal Processing
ISSN 2074-9074

Volume: 4;
Issue: 1;
Start page: 35;
Date: 2012;
Original page

Keywords: 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.
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