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At SCOPE-MRI, we investigate imperfections in MRI—such as noise, bias, and artifacts—not only to reduce them, but to understand and, in some cases, use them constructively to gain deeper insight into brain structure and function. We view MRI as an interplay between physics, physiology, and technology, and develop advanced methods to improve signal clarity and interpretability. This includes subject-specific RF pulse design, suppression of thermal, physiological, and vascular noise, and strategies to mitigate B1 bias. A particular strength of the group is our pioneering work in AI-driven RF pulse optimization, enabling real-time, tailored pulse design through deep learning and optimal control.

Our methods support a broad range of research in neuroscience and experimental medicine, from investigating cortical microstructure and laminar brain function to developing new MRI-based approaches for probing and modulating biological processes. We collaborate closely with clinical teams at Aarhus University Hospital and share our tools and insights openly with the global MRI research community.

Coordinator: Torben Ellegaard Lund