I am a research scientist and software engineer based in Hamburg, Germany. My work aims at making medical imaging faster, easier, and more accessible. I am developing techniques for MRI scan acceleration and workflow simplification, and I am creating open-source software for bringing research prototypes into clinical practice.
I am affiliated with the New York University School of Medicine.
My research at NYU focuses on the development of motion-robust MR imaging that works in patients unable to hold breath. This is achieved by combining radial MR pulse sequences with iterative or model-based reconstruction. One outcome is the GRASP technique for free-breathing DCE-MRI, which is now used clinically with FDA approval. Extensions include motion-resolved reconstruction (XD-GRASP), model-based fat/water separation or quantification (Dixon-RAVE), and T2 variants (EMC, RAVE-Hybrid). To integrate such techniques clinically, I have created the Yarra open-source framework. My work has been supported by the NIH.
At Siemens, I developed the StarVIBE sequence for motion-robust MR imaging. Moreover, I was in charge of product maintenance of the VIBE sequence, and I led an innovation team on iterative reconstruction techniques. I also developed a real-time MR imaging technique with near-zero latency reconstruction.
While writing my PhD thesis, I worked as Research Scientist at the Max Planck Institute Göttingen. I developed iterative reconstruction schemes to accelerate MRI scans (aka Compressed Sensing), model-based reconstruction techniques, and pulse sequences with radial k-space acquisition. This work received the 2007 ISMRM Young Investigator Award for Basic Science.
During my time at MEVIS, I developed software solutions for analysis of dynamic contrast-enhanced MRI exams. I also contributed to the MeVisLab medical image processing platform.
I wrote my Diploma thesis at the Biomedizinische NMR Forschungs GmbH at Max Planck Institute Göttingen and investigated whether spiral k-space sampling schemes provide an advantage over the widely used EPI technique in functional MRI.
My company Seginus IT Solutions developed the software suite “measure” for school education and scientific research on behalf of PHYWE Systeme GmbH, Göttingen. We also developed firmware update tools for various PHYWE devices.
Thesis: Advanced Methods for Radial Data Sampling in Magnetic Resonance Imaging
Grade: Summa cum laude
Thesis: Spiral Sampling of k-Space in Magnetic Resonance Imaging
Grade: A (Sehr Gut)
Citation metrics can be found on my Google Scholar profile