The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation
Abstract
An adaptive spatial fuzzy c-means clustering algorithm is presented in this paper for the segmentation of three-dimensional (3-D) magnetic resonance (MR) images. The input images may be corrupted by noise and intensity nonuniformity (INU) artifact. The proposed algorithm takes into account the spatial continuity constraints by using a dissimilarity index that allows spatial interactions between image voxels. The local spatial continuity constraint reduces the noise effect and the classification ambiguity. The INU artifact is formulated as a multiplicative bias field affecting the true MR imaging signal. By modeling the log bias field as a stack of smoothing B-spline surfaces, with continuity enforced across slices, the computation of the 3-D bias field reduces to that of finding the B-spline coefficients, which can be obtained using a computationally efficient two-stage algorithm. The efficacy of the proposed algorithm is demonstrated by extensive segmentation experiments using both simulated and real MR images and by comparison with other published algorithms.
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Cites
Pattern Recognition with Fuzzy Objective Function Algorithms
Bezdek, J. C. (1981) · doi:10.1007/978-1-4757-0450-1 · Cited by 9,881
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668698 · Cited by 4,731
Design and construction of a realistic digital brain phantom
Collins, D. L., Zijdenbos, A. P., Kollokian, V., Sled, J. G., Kabani, N. J., Holmes, C. J., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.712135 · Cited by 1,822
Adaptive segmentation of MRI data
Wells, W. M., Grimson, W. E. L., Kikinis, R., & Jolesz, F. A. (1996) · IEEE Transactions on Medical Imaging · doi:10.1109/42.511747 · Cited by 1,277
Morphometric analysis of white matter lesions in MR images: method and validation
Zijdenbos, A. P., Dawant, B. M., Margolin, R. A., & Palmer, A. C. (1994) · IEEE Transactions on Medical Imaging · doi:10.1109/42.363096 · Cited by 1,265
Automated model-based tissue classification of MR images of the brain
Van Leemput, K., Maes, F., Vandermeulen, D., & Suetens, P. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.811270 · Cited by 1,024
New variants of a method of MRI scale standardization
Nyul, L. G., Udupa, J. K., & Zhang, X. (2000) · IEEE Transactions on Medical Imaging · doi:10.1109/42.836373 · Cited by 956
Review of MR image segmentation techniques using pattern recognition
Bezdek, J. C., Hall, L. O., & Clarke, L. P. (1993) · Medical Physics · doi:10.1118/1.597000 · Cited by 953
Udupa, J. K., & Samarasekera, S. (1996) · Graphical Models and Image Processing · doi:10.1006/gmip.1996.0021 · Cited by 839
Adaptive fuzzy segmentation of magnetic resonance images
Pham, D. L., & Prince, J. L. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.802752 · Cited by 805
Metadata
- Authors
- Liew, A. W.-C., & Yan, H.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 2003-09
- Volume
- 22
- Issue
- 9
- Pages
- 1063-1075
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2133755666
- Cited by
- 316
- References
- 32
- FWCI
- 13.11
- Type
- journal article
- Language
- en
- Open access
- closed
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