Full Professor
Strategic program(s):
Biography
Alessandro Sbrizzi is professor of Scientific Computing for Diagnostic and Therapeutic Imaging 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), Netherlands eScience Open(2023 & 2026), Kika-Pilot (2026), Hanarth Fonds(2023) and NWO-Demonstrator(2018).
Research aim
By developing and implementing advanced imaging and AI, we aim to enhance individualized detection, prediction, and minimally invasive treatment of cardiovascular disease.This optimizes patient selection, treatment guidance, and clinical outcomes.
Go to groupResearch aim
The Computational Imaging Group develops and apply new MR image acquisition, reconstruction and processing techniques for MRI-guided radiotherapy and diagnostic applications. The group is headed by Prof. Nico van den Berg and dr. Alessandro Sbrizzi.
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