Multi-modality Image Segmentation with Partial Voluming

ISMRM 2002, Honolulu, Hawaii.

Abstract

This paper addresses the creation of tissue models for multi-modal medical images. Our novel multi-dimensional model represents image intensities using contributions to the signal from pure tissues and partial mixtures. Expectation Maximisation (EM) optimisation technique is used to iteratively adjust model parameters, while Bayes theory is applied to generate tissue volume fraction maps for each segmented tissue. The technique is useful for the fusion of information in images as well as for graphical rendering.

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