Siemens Medical Solutions Usa, Inc.

Eth Zurich

Unversität Zürich

Meyer, Stefanie

Thomas Fuchs

Claus Neubauer

Jie Cheng

Bernd Wachmann

Stefanie Meyer

Anja Bosserhoff

Peter Wild

Disclosed is a technique for classifying tissue based on image data. A plurality of tissue parameters are extracted from image data (e.g., magnetic resonance image data) to be classified. The parameters are preprocessed, and the tissue is classified using a classification algorithm and the preprocessed parameters. In one embodiment, the parameters are preprocessed by discretization of the parameters. The classification algorithm may use a decision model for the classification of the tissue, and the decision model may be generated by performing a machine learning algorithm using preprocessed tissue parameters in a training set of data. In one embodiment, the machine learning algorithm generates a Bayesian network. The image data used may be magnetic resonance image data that was obtained before and after the intravenous administration of lymphotropic superparamagnetic nanoparticles.

Method and apparatus for classifying tissue using image data

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Graz, Austria

Thomas Fuchs