The importance of partial voluming in multi-dimensional medical image segmentation

Abstract

The presented method addresses the problem of multi-spectral image segmentation through use of a model which takes into account partial volumes of tissues being present in a single voxel at boundaries. The parameters of the multi-dimensional model of pure tissues and their mixtures are iteratively adjusted using an Expectation Maximisation (EM) optimisation technique. Bayes theory is used to generate probability maps for each segmented tissue which estimates the most likely tissue volume fraction within each voxel.