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Biomedical Magnetic Resonance

Department 8.1



The department engages in method development for magnetic resonance imaging (MRI) and spectroscopy (MRS).

Specific methodological aspects of MRI are covered by currently four research groups: physical basics and safety (8.11); quantitative MRI and MRS applications in neuroscience studies in cooperation with clinical research groups (8.12); data acquisition and image reconstruction algorithms for motion correction and multimodal imaging (8.13); excitation and acquisition techniques specifically designed to harvest the potential of 'ultrahigh' (7T) magnetic fields (8.14).
Central research tool is a whole-body 3-tesla MR scanner. Additionally, the department is engaged in the Berlin Ultrahigh Field Facility which is operating a 7-tesla whole body scanner.


Constance Gatefait (PTB) together with Stephen Ellison (LGC), Stephen Nyangoma (LGC), Sebastian Schmitter (PTB) and Christoph Kolbitsch (PTB) developed an optimised sampling pattern for Magnetic Resonance Fingerprinting.

MRF is a recent multiparametric quantitative MRI technique, which can yield multiple parameters such as T1 and T2. In contrast to a classic MR acquisition, MRF acquisition...

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Andreas Kofler (PTB) published together with Marie-Christine Pali (Universität Innsbruck), Tobias Schäffter (PTB) and Christoph Kolbitsch (PTB) an article about a method for image reconstruction.

The article describes a new method for learning basis functions that can be used to regularize image reconstruction problems. The method involves building a neural network that corresponds to an...

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Duote Chen was awarded 2nd place at the Tiburtius-Award 2022 for her master thesis Investigation of a Transfer-Learning Approach for Neural Networks-based Artefacts Reduction in Cardiac Cine MRI. She studied at Beuth Hochschule für Technik and carried out the project for her master thesis in the working group 8.13.

The Tiburtius-Award is awarded annually by the Landeskonferenz der Rektoren...

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