Heidelberg University
Medical Faculty Mannheim
University Hospital Mannheim
Alena-Kathrin Schnurr presented on our research on AI in medical imaging @ Research Plus forum
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Dr. Mathias Davids wins the I. I. Rabi Award of the International Society for Magnetic Resonance in Medicine (ISMRM),
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Keine Gesundheitsgefährdung für Frauen mit implantierten kupferhaltigen Verhütungsmitteln bei der MRT,
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Medical Imaging (MRI, CT, X-Ray) and Image Analysis

Group Leader: Prof. Dr. Ing. Frank G. Zöllner

Research Profile

The group performs research on new methods  of image formation in MRI, Computer Tomography (CT) and X-Ray imaging, especially  in physiological  / functional imaging of the human body as well in preclinical projects. Furthermore, we research on methods to automatically analyse the acquired data by means of medical image processing and pattern recognition using machine learning techniques to quantify the measured physiological parameters.

The group is involved in several projects:

Group members


Recent Publications

  • D. Hausmann, F. Zöllner and R. Kubik-Huch.
    Editorial for "Qualitative and Quantitative Reporting of a Unique Biparametric MRI: Towards Biparametric MRI-Based Nomograms for Prediction of Prostate Biopsy Outcome in Men With a Clinical Suspicion of Prostate Cancer (IMPROD and MULTI-IMPROD Trials)"..
    J Magn Reson Imaging, , p.in Press 2020.
  • I. Hermann, J. Chacon-Caldera, I. Brumer, B. Rieger, S. Weingärtner, L. Schad and F. Zöllner.
    Magnetic Resonance Fingerprinting for simultaneous renal T1 and T2* mapping in a single breath-hold.
    Magn Reson Med, 83 (6), pp.1940-1948 2020.
  • P. Irrera, L. Consolino, J. Cutrin, F. Zöllner and D. Longo.
    Dual assessment of kidney perfusion and pH by exploiting a dynamic CEST-MRI approach in an acute kidney ischemia reperfusion injury murine model.
    NMR Biomed, , p.e4287 2020.
  • G. Villa, S. Ringgaard, I. Hermann, R. Noble, P. Brambilla, D. Khatir, F. Zöllner, S. Francis, N. Selby, A. Remuzzi and A. Caroli.
    Phase Contrast Magnetic Resonance Imaging to assess renal perfusion: a systematic review and statement paper.
    Magn Reson Mater Phy, 33, pp.3-21 2020.
  • F. Zöllner, A. Šerifovic-Trbalic, G. Kabelitz, M. Kocinski, A. Materka and P. Rogelj.
    Image Registration in Dynamic Renal MRI - Current status and prospects.
    Magn Reson Mater Phy, 33, pp.33-48 2020.
The group receives funding from:

Contact: Dr. Frank Zöllner last modified: 24.01.2020
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