Background
Oscar van der Heide completed his Bachelors and Masters in Tax Law at the University of Utrecht. Afterwards, he obtained his Bachelor in Theoretical Mathematics at the University of Utrecht and Masters in Applied Mathematics at the Technical University of Eindhoven]. Oscar is currently a postdoctoral student in the Radiology department of the UMC Utrecht and the Computational Imaging Group, working on MR-STAT, working with Nico van den Berg and Alessandro Sbrizzi. MR-STAT is a new method for fast, multi-parametric quantitative MR. Within this project, Oscar designs and implements new MR sequences as well as computationally challenging reconstruction algorithms.

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.
• Oscar Heide, Cornelis A. T. Berg, and Alessandro Sbrizzi. GPU‐accelerated Bloch simulations and MR‐STAT reconstructions using the Julia programming language. 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.

Keywords: Pulse programming & MR acquisition | Multi-parametric quantitative MR | Non-linear optimisation | High-performance computing

Social media and other resources
Email: o.vanderheide@umcutrecht.nl | LinkedIn