Background
Alessandro Sbrizzi is an associate professor at the Computational Imaging group of the UMC Utrecht. He graduated in Mathematics at the Utrecht University and obtained his PhD in 2013 with a thesis focused on modelling and numerical optimization of MRI acquisition & reconstruction processes.

His research focuses on fast multi-parametric MRI (in particular MR-STAT), real-time motion-estimation (MR-MOTUS technique), dynamic systems identification (Spectro-Dynamic MRI), radiofrequency pulse design and the application of machine learning in MRI.

As a Principal investigator, he is a recipient of the following research grants: NWO-VIDI-2021, NWO-VENI-2016, NWO-OpenTech-2021, NWO-HTSM-2020 and NWO-Demonstrator-2018, Hanarth fonds-2023, Netherlands-eScience-Center-2022.

Projects

• MR-STAT
• MR-MOTUS
• Spectro-Dynamic MRI
• Motion-Free MRI

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.
• Gabrio Rizzuti, Tim Schakel, Niek R. F. Huttinga, Jan Willem Dankbaar, Tristan Leeuwen, and Alessandro Sbrizzi. Towards retrospective motion correction and reconstruction for clinical 3D brain MRI protocols with a reference contrast. Magnetic Resonance Materials in Physics, Biology and 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.

Social media and other resources
Email: a.sbrizzi@umcutrecht.nl | UMC webpage | Google Scholar | MR-STAT |