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Universitätsplatz 2



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M.Sc. Franziska Schulz

MEMoRIAL - M1.8 | Augmented 4D flow

The phase-contrast magnetic resonance imaging (PC-MRI) method can provide dynamic, three-dimensional flow information in vivo, for instance revealing the blood flow velocity in subject-specific geometries. Although being limited with respect to spatial and temporal resolution, this non-invasive measurement technique may, however, not least point to essential (domain) boundary conditions for computational high-quality simulations.
The application of PC-MRI methods combined with detailed computational simulations will not just exploit measured flow information at domain boundaries but also those throughout the volume. Moreover, this 'hybrid approach' is supposed to open up new possibilities for enhancing the quality of flow information. Within the context of this sub-project, computational methods allowing for enhancement of measured data ranging below the temporal and spatial experimental resolution limits will be developed.



  • Since 12/2017: PhD student at the Institute of Fluid Dynamics and Thermodynamics, Otto-von-Guericke University Magdeburg and member of the International Graduate School MEMoRIAL (www.memorial.ovgu.de)
  • 04/2017 - 11/2017: Internship and Master‘s thesis, Drägerwerk AG & Co. KGaA: Engineering Solutions, Lübeck. Master‘s thesis: „Control and Characterization of a Medical Vaporizer Prototype“
  • Summer-Term 2016: Student assistent, Institute of Fluid Dynamics and Thermodynamics
  • 04/2015 - 11/2017: Master of Science „Medical Systems Engineering“, Otto-von-Guericke University Magdeburg, Focus: Medical Imaging and Interventions
  • Winter-Term 2014: Student assistent, Institute of Fluid Dynamics and Thermodynamics
  • Summer-Term 2013: Tutor: „Technical Thermodynamics“, Faculty of Process and Systems Engineering
  • 10/2011 - 04/2015: Bachelor of Science „Biology Systems Engineering“, Otto-von-Guericke University Magdeburg. Bachelor‘s thesis: „Numerical investigations of laryngeal airflows in a patient-specific geometry using StarCCM+“