Title: Multifractal feature-based abnormal tissues segmentation in brain MRI using modified adaboost classifier

Authors: D. Selvathi; M.S. Steffi

Addresses: Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi-626005 (Tamil Nadu), India ' Department of Electronics and Communication Engineering, Unnamalai Institute of Technology, Kovilpatti, Tamil Nadu, India

Abstract: Brain tumour segmentation is an important task in medical imaging. In this work, image features-based process is proposed to segment brain tumour in MRI images. For the segmentation of brain tumour, MRI brain images should be free from artefacts because it causes unwanted variation in the image and affects the performance of image processing techniques used for brain image analysis. The proposed system consists of three phases: preprocessing, feature extraction and segmentation. In preprocessing, the motion artefacts are corrected by spatial transformations. Texture features are extracted from the estimation of multifractal dimension using curvelet transform. Along with this feature, texton and intensity features are also considered. The fusions of all the features are fed to the modified adaboost classifier. BRATS 2013 dataset is used in this work along with its ground truth. The performance of the method is analysed in terms of sensitivity, specificity and accuracy. The proposed work gives higher accuracy on segmenting abnormal tissues compared with wavelet-based existing methods.

Keywords: tumour segmentation; texture features; multifractal dimension; MultiFD; curvelet transform; adaboost classifier; abnormal tissues; brain MRI scans; magnetic resonance imaging; brain tumours; image analysis; image processing; preprocessing; feature extraction; motion artefacts; intensity features; texton features.

DOI: 10.1504/IJMEI.2015.072325

International Journal of Medical Engineering and Informatics, 2015 Vol.7 No.4, pp.406 - 414

Received: 23 May 2014
Accepted: 24 Nov 2014
Published online: 09 Oct 2015 *

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