Back

dr. A. (Alessandro) Sbrizzi

dr. A. (Alessandro) Sbrizzi

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

Biography

Biography

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: https://www.youtube.com/watch?v=6LzR6TScybg

Research Output (42)

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.

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

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.

Spectro-Dynamic MRI:Characterizing Mechanical Systems on a Millisecond Scale

Van Riel Max H.C., Huttinga Niek R.F., Sbrizzi Alessandro 2022, In: IEEE Access. 10 , p. 271-285 15 p.

Fast and accurate modeling of transient-state, gradient-spoiled sequences by recurrent neural networks

Liu Hongyan, van der Heide Oscar, van den Berg Cornelis A T, Sbrizzi Alessandro Jul 2021, In: NMR in Biomedicine. 34 , p. 1-18

Real-time non-rigid 3D respiratory motion estimation for MR-guided radiotherapy using MR-MOTUS

Huttinga Niek R F, Bruijnen Tom, Van den Berg Cornelis A T, Sbrizzi Alessandro 2021, In: IEEE transactions on medical imaging. 41 , p. 332-346 15 p.

Accelerated MR-STAT reconstructions using sparse Hessian approximations

van der Heide Oscar, Sbrizzi Alessandro, van den Berg Cornelis A T 22 Jun 2020, In: IEEE transactions on medical imaging. 39 , p. 3737-3748 12 p.

All research output

Thank you for your review!

Has this information helped you?

Please tell us why, so that we can improve our website.

Working at UMC Utrecht

Contact

Emergency?

Directions

Appointments

Practical

umcutrecht.nl maakt gebruik van cookies

Deze website maakt gebruik van cookies Deze website toont video’s van o.a. YouTube. Dergelijke partijen plaatsen cookies (third party cookies). Als u deze cookies niet wilt kunt u dat hier aangeven. Wij plaatsen zelf ook cookies om onze site te verbeteren.

Lees meer over het cookiebeleid

Akkoord Nee, liever niet