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Magnetic Resonance Imaging (MRI) allows non-invasive investigation of tissue structure and function. Our contribution to this vast field in MRI is the development of innovative measurement techniques and analysis methods. The understanding of how MRI reflects composition and functionality of tissue – down to the size of cells – is important for the improvement of diagnostics and therapy in patient care. Nevertheless, the motivation for our work remains closely linked to clinical demands. In pathologies, such as cancer, stroke or inflammatory diseases, we investigate how tissue alterations can be assessed as early as possible. Our main tools are MRI methods for the measurement of perfusion, diffusion and oxygenation allowing tissue characterization with respect to blood supply, oxygen consumption and cellular composition.
Current research projects
- Oxygen Extraction Fraction (OEF)
- quantitative BOLD
- Quantitative Susceptibility Mapping (QSM)
- Combined QSM+qBOLD
- Multi-Parametric Mapping
- Machine Learning-Based Reconstruction
- Arterial Spin Labelling (ASL)
- Electrical Properties Tomography (MREPT)
- Elastography (MRE)
- Maša Božić-Iven, M.Sc.
- Patrick Kinz, M.Sc.
- Safa Özdemir, M.Sc.
- Irène Brumer, M.Sc.
- Ugur Can Ayaz , B.Sc.
- Kerime Özel, B.Sc.
- Marcus Chan, B.Sc.
- Paula Röttig, cand. B.Sc.
- Simon Jonscher, cand. B.Sc.
Former group members
- Department of Neuroradiology, Medical Faculty Mannheim, Heidelberg University, Germany
- Department of Radiation Oncology, Medical Faculty Mannheim, Heidelberg University, Germany
- Magnetic Resonance Systems (MARS) Lab, Department of Imaging Physics, Delft University of Technology
- Biomedical Engineering Lab, Department of Radiology, Clíníca Universidad de Navarra, Pamplona, Spain
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
- Cornell MRI Research Lab, Weill Cornell Medical College, New York, USA