An approach to use linguistic and model-based fuzzy expert knowledge for the analysis of MRT images

Abstract Processing of medical image data is much more difficult than industrial image processing resulting from the higher degree of variability. However the improvement of the already existing technique and the development of new imaging techniques as well as the widespread availability of recording devices (e.g. CTs and MRTs) emphasize the importance of this application field worldwide. Although the image quality increases steadily, data contains different kinds of uncertainties and variabilities that have to be handled in computerized analysis. In this paper the handling of such kinds of variabilities by using iconic fuzzy sets for the description and recognition of anatomical structures in magnetic resonance tomograms (MRT, MRI) of human heads will be presented.

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