A Study: Segmentation of Lateral Ventricles in Brain MRI Using Fuzzy C-Means Clustering with Gaussian Smoothing

Authors:
Kai Xiao;Sooi Hock Ho;Qussay Salih
Affiliations:
Faculty of Engineering and Computer Science, The University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia;Faculty of Engineering and Computer Science, The University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia;Faculty of Engineering and Computer Science, The University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia
Venue:
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Year:
2009

Citing 1
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Abstract

This paper demonstrates a study on lateral ventricles segmentation in brain Magnetic Resonance Imaging (MRI). The method applies Gaussian smoothed image data as additional features into the feature space of Fuzzy C-Means (FCM) algorithm. With the aid of the smoothing effect from Gaussian filters, FCM is able to segment lateral ventricular compartments by reducing inappropriate clustering caused by noise and inhomogeneous intensity distribution. The results demonstrate both noise insensitivity and more homogeneous clustering.