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Detail

Ewald Moser
Ao.Univ.-Prof. Dr. Dipl. Ing. Ewald MoserHead of Division MR Physics & Scientific Director MRCE

Center for Medical Physics and Biomedical Engineering
Position: Professor

T +43 1 40400 64590
ewald.moser@meduniwien.ac.at

Further Information

Keywords

Brain; Computer Graphics; Diffusion Magnetic Resonance Imaging; Electromagnetic Fields; Electromagnetic Radiation; Emotions; Energy Metabolism; Functional Magnetic Resonance; Kidney; Lipid Metabolism; Liver; Magnetic Fields; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Magnets; Muscle, Skeletal; Statistics

Research interests

Ewald Moser holds a Diploma in Nuclear Physics (TU Graz, AT) and a doctorate in Physics (TU Vienna, AT). His research interests include high- and ultrahigh field MRI, functional MRI and MRS(I), multi-modal imaging and data processing, particularly for large databases. He collaborates with Psychology, Psychiatry and Radiology in academia and clinical research, and in hard- and software development with imaging industry.

Techniques, methods & infrastructure

The Division "MR Physics" is spezialized in the development and application of ultra-high field Magentic Resonance Imaging and Spectroscopy methods (Moser and all coworkers). Functional MRI methods and applications in the human brain, with a focus on Emotion processing and collaborations with Psychology and Psychiatry (Moser and coworkers). Dynamic metabolic and functional mapping using phosphorus and proton techniques in human skeletal muscle, liver and kidney (Meyerspeer and coworkers). Our RF-lab can provide RF-coil development and electromagnetic simulations for ultra-high field imaging and spectroscopy (Laistler and coworkers). Due to an ever increasing amount of data, storage and fast processing of big data sets using parallel computing and robust statistics is our most recent achievement (Boubela and coworkers).

Selected publications

  1. Boubela, R.N. et al., 2015. fMRI measurements of amygdala activation are confounded by stimulus correlated signal fluctuation in nearby veins draining distant brain regions. Scientific Reports, 5, p.10499. Available at: http://dx.doi.org/10.1038/srep10499.
  2. Kriegl, R. et al., 2014. Novel inductive decoupling technique for flexible transceiver arrays of monolithic transmission line resonators. Magn. Reson. Med., 73(4), pp.1669-1681. Available at: http://dx.doi.org/10.1002/mrm.25260.
  3. Schewzow, K. et al., 2014. Dynamic ASL and T2* -weighted MRI in exercising calf muscle at 7 T: A feasibility study . Magn. Reson. Med., 73(3), pp.1190-1195. Available at: http://dx.doi.org/10.1002/mrm.25242.
  4. Nasel, C. et al., 2014. Improved Quantification of Cerebral Hemodynamics Using Individualized Time Thresholds for Assessment of Peak Enhancement Parameters Derived from Dynamic Susceptibility Contrast Enhanced Magnetic Resonance Imaging J. Hendrikse, ed. PLoS ONE, 9(12), p.e114999. Available at: http://dx.doi.org/10.1371/journal.pone.0114999.
  5. Rabl, U. et al., 2014. Additive Gene-Environment Effects on Hippocampal Structure in Healthy Humans. Journal of Neuroscience, 34(30), pp.9917-9926. Available at: http://dx.doi.org/10.1523/JNEUROSCI.3113-13.2014.