| [1] Li C, Gore J C, Davatzikos C. Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation. Magnetic Resonance Imaging, 2014, 32(7): 913-923.[2] Condon B R, Patterson J, Wyper D et al. Image nonuniformity in magnetic resonance imaging: Its magnitude and methods for its correction. The British Journal of Radiology, 1987, 60(709): 83-87.[3] Simmons A, Tofts P S, Barker G J et al. Sources of intensity nonuniformity in spin echo images at 1.5 T. Magnetic Resonance in Medicine, 1994, 32(1): 121-128.[4] Tincher M, Meyer C R, Gupta R et al. Polynomial modeling and reduction of RF body coil spatial inhomogeneity in MRI. IEEE Transactions on Medical Imaging, 1993, 12(2): 361-365.[5] Pham D L, Prince J L. Adaptive fuzzy segmentation of magnetic resonance images. IEEE Transactions on Medical Imaging, 1999, 18(9): 737-752.[6] Styner M, Brechbuhler C, Szckely G et al. Parametric estimate of intensity inhomogeneities applied to MRI. IEEE Transactions on Medical Imaging, 2000, 19(3): 153-165.[7] Van Leemput K, Maes F, Vandermeulen D et al. Automated model-based bias field correction of MR images of the brain. IEEE Transactions on Medical Imaging, 1999, 18(10): 885-896.[8] Wells III W M, Grimson W E L, Kikinis R et al. Adaptive segmentation of MRI data. IEEE Transactions on Medical Imaging, 1996, 15(4): 429-442.[9] Johnston B, Atkins M S, Mackiewich B et al. Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI. IEEE Transactions on Medical Imaging, 1996, 15(2): 154-169.[10] Vovk U, Pernus F, Likar B. A review of methods for correction of intensity inhomogeneity in MRI. IEEE Transactions on Medical Imaging, 2007, 26(3): 405-421.[11] Bezdek J C. Pattern Recognition with Fuzzy Objective Function Algorithms. Springer Science & Business Media, 2013.[12] Pham D L, Prince J L. An adaptive fuzzy c-means algorithm for image segmentation in the presence of intensity inhomogeneities. Pattern Recognition Letters, 1999, 20(1): 57-68.[13] Ahmed M N, Yamany S M, Mohamed N et al. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data. IEEE Transactions on Medical Imaging, 2002, 21(3): 193-199.[14] Balafar M A, Ramli A R, Mashohor S et al. Compare different spatial based fuzzy-c-mean (FCM) extensions for MRI image segmentation. In Proc. the 2nd International Conference on Computer and Automation Engineering (ICCAE), Feb. 2010, pp.609-611.[15] Chen S, Zhang D. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2004, 34(4): 1907-1916.[16] Chuang K S, Tzeng H L, Chen S et al. Fuzzy c-means clustering with spatial information for image segmentation. Computerized Medical Imaging and Graphics, 2006, 30(1): 9-15.[17] Szilagyi L, Benyo Z, Szilagyi S M et al. MR brain image segmentation using an enhanced fuzzy c-means algorithm. In Proc. the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sept. 2003, pp.724-726.[18] Cai W, Chen S, Zhang D. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern Recognition, 2007, 40(3): 825-838.[19] Krinidis S, Chatzis V. A robust fuzzy local information cmeans clustering algorithm. IEEE Transactions on Image Processing, 2010, 19(5): 1328-1337.[20] Gong M, Liang Y, Shi J et al. Fuzzy c-means clustering with local information and kernel metric for image segmentation. IEEE Transactions on Image Processing, 2013, 22(2): 573-584.[21] Li C, Gatenby C,Wang L et al. A robust parametric method for bias field estimation and segmentation of MR images. In Proc. Computer Vision and Pattern Recognition, June 2009, pp.218-223.[22] Powell M J D. Approximation Theory and Methods. Cambridge University Press, 1981.[23] Gong M, Zhou Z, Ma J. Change detection in synthetic aperture radar images based on image fusion and fuzzy clustering. IEEE Transactions on Image Processing, 2012, 21(4): 2141-2151.[24] Ji Z, Liu J, Cao G et al. Robust spatially constrained fuzzy c-means algorithm for brain MR image. Pattern Recognition, 2014, 47(7): 2454-2466.[25] Bezdek J C. Cluster validity with fuzzy sets. Journal of Cybernetics, 1973, 3(3): 58-73. |