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

• Hongyan Liu, Edwin Versteeg, Miha Fuderer, Oscar Heide, Martin B. Schilder, Cornelis A. T. Berg, and Alessandro Sbrizzi. Time‐efficient, high‐resolution 3T whole‐brain relaxometry using Cartesian 3D MR Spin TomogrAphy in Time‐Domain (MR‐STAT) with cerebrospinal fluid suppression. Magnetic Resonance in Medicine, 2024.
• Michael J. B. McGrory, Edwin Versteeg, Alessandro Sbrizzi, Cornelis A. T. Berg, Dennis Klomp, and Jeroen C. W. Siero. Fast and silent MRI using nonlinear gradient fields at the ultrasonic gradient switching frequency of 20 kHz with a Point Spread Function framework reconstruction. Magnetic Resonance in Medicine, 2024.
• 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.

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