dr. A. (Alessandro) Sbrizzi

dr. A. (Alessandro) Sbrizzi

Associate Professor
dr. A. (Alessandro) Sbrizzi
  • Computational Imaging



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.

See also this video:

Research Output (46)

Erratum to:MRI-Based Transfer Function Determination through the Transfer Matrix by Jointly Fitting the Incident and Scattered B1+ Field (Magn Reson Med. 2020; 83:1081-1095)

Tokaya J P, Raaijmakers A J E, Eijbersen M A, Luijten P R, Sbrizzi A, van den Berg C A T 22 Oct 2023, In: Magnetic Resonance in Medicine. 91 , p. 850-853

Real-time myocardial landmark tracking for MRI-guided cardiac radio-ablation using Gaussian Processes

Huttinga Niek Ricardo Ferdinand, Akdag Osman, Fast Martin F, Verhoeff Joost J C, Mohamed Hoesein Firdaus A A, Van den Berg Cornelis A T, Sbrizzi Alessandro, Mandija Stefano 20 Jun 2023, In: Physics in medicine and biology. 68 14 p.

Cartesian vs radial MR-STAT:An efficiency and robustness study

van der Heide Oscar, Sbrizzi Alessandro, van den Berg Cornelis A.T. Jun 2023, In: Magnetic Resonance Imaging. 99 , p. 7-19 13 p.

Gaussian Processes for real-time 3D motion and uncertainty estimation during MR-guided radiotherapy

Huttinga Niek R.F., Bruijnen Tom, van den Berg Cornelis A.T., Sbrizzi Alessandro 18 May 2023, In: Medical Image Analysis. 88 14 p.

Synthetic MRI with Magnetic Resonance Spin TomogrAphy in Time-Domain (MR-STAT):Results from a Prospective Cross-Sectional Clinical Trial

Kleinloog Jordi P D, Mandija Stefano, D'Agata Federico, Liu Hongyan, van der Heide Oscar, Koktas Beyza, Dankbaar Jan Willem, Keil Vera C, Vonken Evert-Jan, Jacobs Sarah M, van den Berg Cornelis A T, Hendrikse Jeroen, van der Kolk Anja G, Sbrizzi Alessandro May 2023, In: Journal of Magnetic Resonance Imaging. 57 , p. 1451-1461 11 p.

Efficient performance analysis and optimization of transient-state sequences for multiparametric magnetic resonance imaging

Fuderer Miha, van der Heide Oscar, Liu Hongyan, van den Berg C A T, Sbrizzi Alessandro Mar 2023, In: NMR in Biomedicine. 36 , p. 1-18

Time-Resolved Reconstruction of Motion, Force, and Stiffness Using Spectro-Dynamic MRI

Riel Max H.C.van, Leeuwen Tristan van, Berg Cornelis A.T.van den, Sbrizzi Alessandro 2023, In: IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING. 9 , p. 917-927 11 p.

Acceleration Strategies for MR-STAT: Achieving High-Resolution Reconstructions on a Desktop PC Within 3 Minutes

Liu Hongyan, van der Heide Oscar, Mandija Stefano, van den Berg Cornelis A. T., Sbrizzi Alessandro Oct 2022, In: IEEE transactions on medical imaging. 41 , p. 2681-2692 12 p.

⊥-loss: A symmetric loss function for magnetic resonance imaging reconstruction and image registration with deep learning

Terpstra Maarten, Maspero Matteo, Sbrizzi Alessandro, van den Berg CAT Aug 2022, In: Medical Image Analysis. 80 , p. 1-11

Joint Retrospective Motion Correction and Reconstruction for Brain MRI With a Reference Contrast

Rizzuti Gabrio, Sbrizzi Alessandro, Van Leeuwen Tristan 2022, In: IEEE Transactions on Computational Imaging. 8 , p. 490-504 15 p.

All research output

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