Introduction - If you have any usage issues, please Google them yourself
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