Background
Edwin Versteeg completed his bachelor in Applied physics and Masters (cum laude) in Biomedical Engineering at the Delft University of Technology (2012-2017). He obtained his PhD in 2023 (cum laude). During his PhD, Edwin worked on developing new sequences, reconstruction methods and hardware for a local gradient coil for fast high-resolution fMRI and silent imaging at the high field MRI group in the UMC Utrecht. Currently, he works as a postdoc in the Computational Imaging Group under the supervision of Alessandro Sbrizzi on the MR-STAT project with a focus on combining silent non-linear gradients with MR-STAT.

Projects

• MR-STAT

Most recent publications

• Gerrit Cornelis Arends, Edwin Versteeg, Feng Jia, Dennis W. J. Klomp, Maxim Zaitsev, Sebastian Littin, and Chantal M. W. Tax. Bilateral Breast Gradient Insert Prototype for Strong Diffusion Encoding at3 T. Magnetic Resonance in Medicine, 2026.
• Martin B. Schilder, Elon D. Wallert, Stefano Mandija, Oscar van der Heide, Hongyan Liu, Miha Fuderer, Edwin Versteeg, Jan Booij, Rob M. A. Bie, Martijn Beudel, Henk W. Berendse, Tom Mierlo, Jeroen Blankevoort, Cornelis A. T. van den Berg, Elsmarieke Giessen, and Alessandro Sbrizzi. Mapping Neurodegenerative Changes in Clinically Uncertain Parkinsonian Syndrome Patients Using FastMRSpinTomogrAphyin Time‐Domain (MR‐STAT) Relaxometry at 3T. Journal of Magnetic Resonance Imaging, 2026.
• Thomas H. M. Roos, Edwin Versteeg, Mark Gosselink, Hans Hoogduin, Kyung Min Nam, Nicolas Boulant, Vincent Gras, Franck Mauconduit, Dennis W. J. Klomp, Jeroen C. W. Siero, and Jannie P. Wijnen. pTx‐Pulseq in hybrid sequences: Accessible and advanced hybrid open‐sourceMRIsequences on Philips scanners. Magnetic Resonance in Medicine, 2025.

Keywords:

Social media and other resources
Email: e.versteeg-5@umcutrecht.nl | ORCiD | Google Scholar | ResearchGate |