MR brain image segmentation by adaptive mixture distribution

Abstract

The Box-Cox transformation is applied to fit a Gaussian mixture distribution to the brain image intensity data. The advantage of using such data-adaptive mixture model is evidenced by yielding better image segmentation results compared to the existing EM procedures using standard Gaussian mixture distribution.