Medical Imaging Physics (INM-4)

The Neuro Imaging Data Science group focuses on the development and application of novel and state-of-the-art neuroimaging data analysis tools. In particular, we are interested in the application of machine and deep learning algorithms to find neural biomarkers for neuroscience research, diagnosis, and therapy.

The primary aim of the MR group is the development and implementation of new methods and sequences in magnetic resonance imaging, with a focus on the brain. In particular, we are interested in quantitative MR imaging, structural and functional imaging, sodium imaging, diffusion imaging and high-field MR.

Positron emission tomography (PET) is a unique modality for imaging normal and diseased metabolical functions in vivo, in a quantitative manner.

The special field of interest of this group is the preclinical and clinical testing of new radiopharmaceuticals for nuclear medicine diagnostics of brain tumours using Positron-Emission-Tomography (PET) and correlation with Magnetic Resonance Imaging (MRI).

The working group "Clinical Multimodal Imaging" is primarily concerned with the investigation of individual biomarkers with a view towards their use in individually optimised therapy. Within the framework of precision psychiatry, it is anticipated that the research will help patients with mental illnesses and may be used to predict the success of the therapy.

The Neuro Imaging Data Science group focuses on the development and application of novel and state-of-the-art neuroimaging data analysis tools. In particular, we are interested in the application of machine and deep learning algorithms to find neural biomarkers for neuroscience research, diagnosis, and therapy.