Abstract
The characterisation of tumours from Magnetic Resonance (MR) images of the brain is still a challenging task. In this paper we present an approach based on a K-Means clustering algorithm combined with textural feature information as opposed to intrinsic MR paramenters T1,T2 and PD. This is due to the fact that MR parameters may exhibit significant alterations in the presence of pathological conditions and, therefore lead to incorrect classification. We also address two important aspects of clustering: the selection of the optimum number of classes (Cluster Validity) and the most effective features (reduction of the feature space).
Sponsored by CNPq — Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil
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Bezdek, J.C.; Hall, L.O.; Clarke, L.P.-Review of mr image segmentation tecniques using pattern recognition. Medical Physics. 20(4): 1033–1048, 1993.
Coleman,G.B.; Andrews,H.C.-Image Segmentation by Clustering. Proc. IEEE. 67(5):773–785, 1979.
Foster,M.A. et al.-Nuclear Magnetic Resonance Pulse Sequence and Discrimination of High-and Low-fat Tissues. Magnetic Resonance Imaging. 2:187–192, 1984.
Fukunaga, K.,-Introduction to Statistical Pattern Recognition. Academic Press, London, 1972.
Gool,L.V.; Dewaele,P; Oosterlink,A.-Texture Analysis Anno 1983. Computer Vision, Graphics and Image Processing. 29:336–357, 1985.
Haralick,R.M. et al.-Textural Features for Image Classification. IEEE Trans. on Systems, Man and Cybernetics. SMC-3(6):610–621, 1973.
Loh,H.; Leu,J.-The Analysis of Natural Textures Using Run Length Features. IEEE Trans. on Industrial Electronics. 35(2):323–328, 1988.
Taylor,D.G.; Bushell,M.C.-NMR Characterisation of Healthy Rat Tissues in vivo. Clin. Phys. Physiol. Meas. 7(1):57–62, 1986
Therrien, C.W.-Decision, Estimation and Classification: an introduction to pattern recognition and related topics. John Wiley & Sons, New York, 1989.
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© 1995 Springer-Verlag Berlin Heidelberg
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Batista, J., Kitney, R. (1995). Extraction of tumours from MR images of the brain by texture and clustering. In: Braccini, C., DeFloriani, L., Vernazza, G. (eds) Image Analysis and Processing. ICIAP 1995. Lecture Notes in Computer Science, vol 974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60298-4_264
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DOI: https://doi.org/10.1007/3-540-60298-4_264
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