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

• Edwin Versteeg, Hongyan Liu, Oscar Heide, Miha Fuderer, Cornelis A. T. Berg, and Alessandro Sbrizzi. High SNR full brain relaxometry at 7T by accelerated MR‐STAT. Magnetic Resonance in Medicine, 2024.
• Edwin Versteeg, Kyung Min Nam, Dennis W. J. Klomp, Alex A. Bhogal, Jeroen C. W. Siero, and Jannie P. Wijnen. A silent echo‐planar spectroscopic imaging readout with high spectral bandwidth MRSI using an ultrasonic gradient axis. Magnetic Resonance in Medicine, 2024.
• Hongyan Liu, Oscar Heide, Edwin Versteeg, Martijn Froeling, Miha Fuderer, Fei Xu, Cornelis A. T. Berg, and Alessandro Sbrizzi. A three‐dimensional Magnetic Resonance Spin Tomography in Time‐domain protocol for high‐resolution multiparametric quantitative magnetic resonance imaging. NMR in Biomedicine, 2023.

Keywords:

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