Many modern measurement methods only work well if you have suitable, highly complex mathematical models with which you can process and analyze your data. One example of this is magnetic resonance imaging (MRI). Magnetic signals are used to examine the body and an image is calculated on the computer from the data received. Optimised mathematical methods are required both for the appropriate generation of the signals and for the calculation of the image data – for example, to eliminate disturbing effects caused by the person being examined moving during the scan. This is the aim of the newly funded special research area (SFB) “Mathematics of Reconstruction in Dynamical and Active Models” led at the University of Graz.

Part of the project is led at the ASC by Prof. Elisa DAVOLI and her research group.

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