The MR Technology group is dedicated to advancing magnetic resonance for biomedical research and healthcare applications. We focus on mechanisms, instrumentation, and methods for MR in humans, combining expertise in physics, engineering and the life sciences. Areas of particular interest include high-field MR, fast and dynamic MR imaging, detector design, magnetic field sensing, and signal processing.

The TNU is developing mathematical models for inferring subject-specific mechanisms of brain disease from non-invasive measures of neuronal activity with fMRI or EEG. These models aim to quantify both physiological (synaptic) and computational (information processing) principles that underlie maladaptive cognition, such as aberrant learning and decision-making, in individual subjects. The long-term goal is to use these models for a mechanistic re-definition of psychiatric and neurological diseases, leading to pathophysiologically interpretable diagnostic classifications and individual treatment predictions.

Our group is working on novel X-ray based tomographic instruments and methods for non-invasive 3D investigations of biosamples at the micron and nano scale. We are interested in developing and optimizing imaging modalities (absorption, phase and darkfield contrast), tomographic reconstruction algorithms as well as imaging instruments (microscopes and nanoscopes).