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A new segmentation algorithm for knowledge acquisition in tissue-characterizing magnetic resonance imaging.

H Handels·T Tolxdorff
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Abstract

Tissue-characterizing magnetic resonance imaging (MRI) is a new imaging method for differentiation and biochemical characterization of tissue based on multidimensional MR-parameter information. To support knowledge acquisition in tissue-characterizing MRI, a new segmentation algorithm has been developed by using clustering techniques. The visualization of the complex biochemical MR-parameter information is performed by extraction of regions with similar biochemical properties. The clustering algorithm leads to an easy and comfortable handling of the complex tissue-characteristic MR information and supports knowledge acquisition for knowledge-based tissue characterization.

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H Handels, T Tolxdorff. 1990. A new segmentation algorithm for knowledge acquisition in tissue-characterizing magnetic resonance imaging.. https://doi.org/10.1007/bf03170567

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