Automatic MRI Brain Image Segmentation Using Gravitational Search-Based Clustering Technique

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Author(s): Vijay Kumar (JCDM College of Engineering, India), Jitender Kumar Chhabra (National Institute of Technology, India)and Dinesh Kumar (GJUS&T, India)
Copyright: 2017
Pages: 16
Source title: Medical Imaging: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-0571-6.ch005

Keywords: Medical Information Science Reference / Medical Technologies / Medicine & Healthcare

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Abstract

Image segmentation plays an important role in medical imaging applications. In this chapter, an automatic MRI brain image segmentation framework using gravitational search based clustering technique has been proposed. This framework consists of two stage segmentation procedure. First, non-brain tissues are removed from the brain tissues using modified skull-stripping algorithm. Thereafter, the automatic gravitational search based clustering technique is used to extract the brain tissues from the skull stripped image. The proposed algorithm has been applied on four simulated T1-weighted MRI brain images. Experimental results reveal that proposed algorithm outperforms the existing techniques in terms of the structure similarity measure.

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Automatic MRI Brain Image Segmentation Using Gravitational Search-Based Clustering Technique

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