Description: resonance imaging (MRI) data and estimation
of intensity inhomogeneities using fuzzy logic. MRI intensity
inhomogeneities can be attributed to imperfections in the
radio-frequency coils or to problems associated with the acquisition
sequences. The result is a slowly varying shading artifact
over the image that can produce errors with conventional intensity-
based classification. Our algorithm is formulated by modifying
the objective function of the standard fuzzy c-means (FCM) algorithm
to compensate for such inhomogeneities and to allow the labeling
of a pixel (voxel) to be influenced by the labels in its immediate
neighborhood. The neighborhood effect acts as a regularizer
and biases the solution toward piecewise-homogeneous labelings.
Such a regularization is useful in segmenti
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