Welcome page

Welcome to the MRI labs of the Institutes of Radiology and Neuroradiology!

In the MRI labs of the Institute of Radiology (Head: Prof. Michael Uder) and the Institute of Neuroradiology (Head: Prof. Arnd Dörfler) in Erlangen, we develop new imaging techniques for magnetic resonance imaging . We test these methods intensively and in close cooperation with physicians.


Again and again, we offer exciting Bachelor, Master and PhD projects.

A particularly nice feature of research in MRI is the wide range of possible topics:

  • Basic aspects of MR physics
    • Theoretical considerations
    • Computer simulations
  • Implementation of new MR sequences
    • At clinical MR-scanners (0.55 T to 7 T)
    • At preclinical MR-scanners (7 T)
  • Validations in measurement phantoms and healthy subjects
  • Translation into clinical studies together with clinical partners and the focus areas:
    • Oncology
    • Immunology
    • Renal and circulation research
    • Dementia and neuroscience
    • Muscular diseases
    • Medical technology
  • Advanced evaluation methods
    • Image reconstruction
    • Classic image processing
    • Neural networks / AI

Our MRI labs have different thematic focuses (see Lab pages). We work closely together on many projects and benefit from our different strengths and expertises.

Contact us if you are interested!

New MR techniques for breast cancer imaging (developed by our PhD student Mona Pistel)

New MR methods for contrast agent free imaging of epilepsy-related brain tumors (developed by our PhD students Angelika Mennecke and Moritz Fabian)


We offer a wide range of courses. They prepare you optimally for projects in the field of MRI research, but also offer the opportunity to acquire comprehensive knowledge in the field of MRI, which will be of great benefit to you in other research projects and in industry.

We look forward to welcome you to our courses!

Lecture MRI 1 with Prof. Dr. Frederik Laun

Ultra High Field Imaging

A lot helps a lot. Sometimes this is indeed the case. In MRI, the signal-to-noise ratio increases with magnetic field strength. While clinical tomographs are usually operated with field strengths of 1.5 T or 3 T, clinical devices of the latest generation are also available with 7 T. Unfortunately, a higher field strength is often accompanied by increased image artifacts. For example, the wavelength of the transmitting field decreases with higher field strength, so that the images are inhomogeneous in intensity. We are working on overcoming these technical difficulties, establishing various MR techniques to 7 T scanners and being able to apply them in acceptable measurement time.

The 7 T Magnetom Terra Tomograph of the University Hospital Erlangen

Top: Inhomogeneous appearance due to the short transmit field wavelength at 7 T. Bottom: Parallel transmit techniques (ptx) increase the homogeneity of the intensity. (developed by our former PhD student Jürgen Herrler)

FAU Innovator Award for the ultrahigh field work on MR biosignatures by Alexander German conducted in the MR physics groups

Since 2020, the FAU has awarded a prize to outstanding pioneers and innovators in three categories. In 2022, Alexander German wins last year’s FAU Innovator Award in the student category with his work on single-voxel signatures in multi-spectral MR imaging. As part of his doctoral thesis in the research group Laun, he was able to show within a broad cooperation project between the MR physics research groups Zaiß and Nagel with the Department of Experimental Neurology (Prof. Jürgen Winkler) and the Institute of Neuroradiology (Prof. Arnd Dörfler) of the University Hospital Erlangen that a tissue-dependent MR biosignature can be determined by combining different ultra-high-field MR techniques and AI-supported evaluation methodology. This can be used to make predictions about tissue properties that are independent of spatial structure. The MR physics research groups provided essential previous work on the techniques and sequences used. For example, special diffusion techniques, parallel imaging and novel CEST methods were combined in the work of Alexander German. For this, he already received the first Gorter Award at the annual meeting of German Chapter of the ISMRM in 2021 (read here).

FAU Innovator 2022 in der Kategorie Studierende Alex German

Congratulations to Mona Pistel and co-authors on the recently published article "Stability of Radiomic Features against Variations in Lesion Segmentations Computed on Apparent Diffusion Coefficient Maps of Breast Lesions"! Diffusion-weighted imaging combined with radiomics can help differentiate ...

Category: AG Laun, Allgemein, Startseite