TUM
Klinikum rechts der Isar Technische Universität München
Neuro-Kopf-Zentrum
Abteilung für Neuroradiologie


Forschungsgruppen und Projekte

 

Quantitative Hemodynamic Imaging in Cerebrovascular Diseases


 

Summary

Cerebrovascular diseases are a major public health issue and could greatly benefit from quantitative cerebral hemodynamic imaging. Our main interest is the technical implementation and clinical translation of novel imaging techniques for hemodynamic imaging with the main goal to characterize hemodynamic alterations in cerebrovascular diseases and their impact on neurocognitive processes. We have implemented several quantitative hemodynamic imaging techniques based on magnetic resonance imaging (MRI) in close cooperation with partners in research and industry.

Projects

  • Implementation of MRI-based quantitative perfusion and oxygenation imaging
  • Software engineering of automated pipelines for clinical data processing
  • AI-based automated hemodynamic segmentations
  • Hemodynamics and cognition in carotid artery stenosis
  • Collateral blood flow pattern characterization
  • Oxygen diffusivity mapping
  • Clinical ASL applications

Grant support

  • Dr.-Ing. Leonhard Lorenz-Stiftung (JG 915/15, SK 971/19 and 979/20)
  • Else-Kröner-Fresenius-Stiftung (grant 2014_Promotionskolleg.20)
  • DAAD (Deutscher Akademischer Austauschdienst)
  • KKF (Kommission für klinische Forschung, TUM)
  • Friedrich Ebert Stiftung

Twitter

@NMRM_group

Lead

Team

B.Sc. Gabriel Hoffmann;
Dr. med. cand. Jan Kufer;
Dr. med. cand. Lena Schmitzer;
Dr. med. cand. Carina Gleißner;
Dr. med. cand. Miriam Reichert

Partners

  • PD Dr. Christine Preibisch, PD Dr. Nico Sollmann, Dr. Hans Liebl, PD Dr. Benedikt Wiestler, Moritz Roman Hernandez Petzsche, Dr. Maria Berndt, PD Dr. Christian Sorg, PD Dr. Valentin Riedl (TUM Neuroradiology)
  • Prof. Dr. Hans-Henning Eckstein, Dr. Michael Kallmayer (TUM Vascular Surgery)
  • Prof. Dr. Bernhard Hemmer, Dr. Benno Ikenberg (TUM Neurology)
  • Prof. Dr. Björn Menze, Carolin Pirkl (TUM Computer Science)
  • Prof. Dr. Fahmeed Hyder (Yale University)
  • Dr. Jan Petr (Helmholz-Zentrum Dresden Rossendorf)
  • Dr. Kim van de Ven, Dr. Kilian Weiss, Dr. Andreas Hock, Dr. Makoto Obara (Philips Healthcare)
  • PD Dr. Michael Helle (Kiel University)
  • Prof. Dr. Kim Mouridsen, Dr. Mikkel Bo Hansen (Aarhus University)
  • Prof. Dr. Thijs van Osch, Dr. Lena Vaclavu (Leiden University)
  • Prof. Dr. Manus Donahue (Vanderbilt University)
  • Prof. Dr. Audrey Fan (UC Davis)



 

Selected Publications

S. Kaczmarz, F. Hyder, and C. Preibisch. 2020. “Oxygen extraction fraction mapping with multi-parametric quantitative BOLD MRI: reduced transverse relaxation bias using 3D-GraSE imaging”, NeuroImage, 220:117095.

N. Sollmann, H. Liebl, C. Preibisch, C. Zimmer, M. Helle, M. Obara, J.S. Kirschke, S. Kaczmarz. 2020. ”Super-selective ASL and 4D ASL-based MR angiography in a patient with Moyamoya disease”, Clinical Neuroradiology, Epub ahead of print.

J. Göttler, S. Kaczmarz, R. Nuttall, V. Griese, N. Napiorkowski, M. Kallmayer, I. Wustrow, H. H. Eckstein, C. Zimmer, C. Preibisch, K. Finke, and C. Sorg. 2020. 'The stronger one-sided relative hypoperfusion, the more pronounced ipsilateral spatial attentional bias in patients with asymptomatic carotid stenosis', J Cereb Blood Flow Metab, 40: 314-27.

S. Kaczmarz, J. Göttler, J. Petr, M. B. Hansen, K. Mouridsen, C. Zimmer, F. Hyder, and C. Preibisch. 2020. 'Hemodynamic impairments within individual watershed areas in asymptomatic carotid artery stenosis by multimodal MRI', J Cereb Blood Flow Metab: 271678X20912364.

S. Kaczmarz, J. Göttler, C. Zimmer, F. Hyder, and C. Preibisch. 2020. 'Characterizing white matter fiber orientation effects on multi-parametric quantitative BOLD assessment of oxygen extraction fraction', J Cereb Blood Flow Metab, 40: 760-74.

J. Göttler, S. Kaczmarz, M. Kallmayer, I. Wustrow, H. H. Eckstein, C. Zimmer, C. Sorg, C. Preibisch, and F. Hyder. 2019. 'Flow-metabolism uncoupling in patients with asymptomatic unilateral carotid artery stenosis assessed by multi-modal magnetic resonance imaging', J Cereb Blood Flow Metab, 39: 2132-43.

J. Göttler, C. Preibisch, I. Riederer, L. Pasquini, P. Alexopoulos, K. P. Bohn, I. Yakushev, E. Beller, S. Kaczmarz, C. Zimmer, T. Grimmer, A. Drzezga, and C. Sorg. 2019. 'Reduced blood oxygenation level dependent connectivity is related to hypoperfusion in Alzheimer's disease', J Cereb Blood Flow Metab, 39: 1314-25.

S. Kaczmarz, V. Griese, C. Preibisch, M. Kallmayer, M. Helle, I. Wustrow, E. T. Petersen, H. H. Eckstein, C. Zimmer, C. Sorg, and J. Göttler. 2018. 'Increased variability of watershed areas in patients with high-grade carotid stenosis', Neuroradiology, 60: 311-23.

S.V. Frolov, S. Sindeev, J.S. Kirschke, P. Arnold, S. Prothmann, D. Liepsch, A. Balasso, A. Potlov, I. Larrabide, S. Kaczmarz. 2018. 'CFD and MRI studies of hemodynamic changes after flow diverter implantation in a patient-specific model of the cerebral artery', Experiments in Fluids, 59(11):176.

J. Göttler, M. Lukas, A. Kluge, S. Kaczmarz, J. Gempt, F. Ringel, M. Mustafa, B. Meyer, C. Zimmer, M. Schwaiger, S. Forster, C. Preibisch, and T. Pyka. 2017. 'Intra-lesional spatial correlation of static and dynamic FET-PET parameters with MRI-based cerebral blood volume in patients with untreated glioma', Eur J Nucl Med Mol Imaging, 44: 392-97.

Koch, K., N. E. Myers, J. Göttler, L. Pasquini, T. Grimmer, S. Forster, A. Manoliu, J. Neitzel, A. Kurz, H. Forstl, V. Riedl, A. M. Wohlschlager, A. Drzezga, and C. Sorg. 2015. 'Disrupted Intrinsic Networks Link Amyloid-beta Pathology and Impaired Cognition in Prodromal Alzheimer's Disease', Cereb Cortex, 25: 4678-88.

Myers, N., L. Pasquini, J. Göttler, T. Grimmer, K. Koch, M. Ortner, J. Neitzel, M. Muhlau, S. Forster, A. Kurz, H. Forstl, C. Zimmer, A. M. Wohlschlager, V. Riedl, A. Drzezga, and C. Sorg. 2014. 'Within-patient correspondence of amyloid-beta and intrinsic network connectivity in Alzheimer's disease', Brain, 137: 2052-64.


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