NDLI: Volume and Shape in Feature Space on Adaptive FCM in MRI Segmentation

Content Provider	Springer Nature Link
Author	He, Renjie Sajja, Balasrinivasa Rao Datta, Sushmita Narayana, Ponnada A.
Copyright Year	2008
Abstract	Intensity non-uniformity (bias field) correction, contextual constraints over spatial intensity distribution and non-spherical cluster’s shape in the feature space are incorporated into the fuzzy c-means (FCM) for segmentation of three-dimensional multi-spectral MR images. The bias field is modeled by a linear combination of smooth polynomial basis functions for fast computation in the clustering iterations. Regularization terms for the neighborhood continuity of either intensity or membership are added into the FCM cost functions. Since the feature space is not isotropic, distance measures, other than the Euclidean distance, are used to account for the shape and volumetric effects of clusters in the feature space. The performance of segmentation is improved by combining the adaptive FCM scheme with the criteria used in Gustafson-Kessel (G-K) and Gath-Geva (G-G) algorithms through the inclusion of the cluster scatter measure. The performance of this integrated approach is quantitatively evaluated on normal MR brain images using the similarity measures. The improvement in the quality of segmentation obtained with our method is also demonstrated by comparing our results with those produced by FSL (FMRIB Software Library), a software package that is commonly used for tissue classification.
Starting Page	1580
Ending Page	1593
Page Count	14
File Format	PDF
ISSN	00906964
Journal	Annals of Biomedical Engineering
Volume Number	36
Issue Number	9
e-ISSN	15739686
Language	English
Publisher	Springer US
Publisher Date	2008-06-24
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Adaptive FCM Contextual constraints G-K algorithm G-G algorithm Inhomogeneity field Multi-spectral segmentation MRI Shape Volume Feature space Biochemistry Mechanics Biophysics/Biomedical Physics Biomedical Engineering Biomedicine general
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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