Personal profile
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), Netherlands eScience Open(2023), Hanarth Fonds(2023) and NWO-Demonstrator(2018).
See also this video: https://www.youtube.com/watch?v=6LzR6TScybg
Collaborations and top research areas from the last five years
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Anticipating Moral and Economic Considerations, Opportunities, and Potential Frictions for AI in Medical Imaging: Multistakeholder Cocreation Study
Schilder, M. B., Keyser, A., van Hees, S., Sbrizzi, A. & Boon, W. P. C., 25 Feb 2026, In: Journal of Medical Internet Research. 28, e83407.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Downloads (Pure) -
Continuous Ventricular Volumetric Quantification in Patients with Arrhythmias using Real-Time 3D CMR-MOTUS
Olausson, T. E., Terpstra, M. L., Ahmad, R., Versteeg, E., Beijst, C., Han, Y., Guglielmo, M., Velthuis, B. K., van den Berg, C. & Sbrizzi, A., 4 Mar 2026, ArXiv, 25 p.Research output: Working paper › Preprint › Academic
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Free-running time-resolved first-pass myocardial perfusion using a multi-scale dynamics decomposition: CMR-MOTUS
Olausson, T. E., Terpstra, M. L., Huttinga, N. R. F., Beijst, C., Blanken, N., Suchá, D., Correia, T., Velthuis, B. K., van den Berg, C. A. T. & Sbrizzi, A., Apr 2026, In: Magnetic Resonance Materials in Physics, Biology and Medicine. 39, 2, p. 173-186 14 p.Research output: Contribution to journal › Article › Academic › peer-review
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RF phase modulation improves quantitative transient state sequences under constrained conditions
Fuderer, M., Liu, H., van der Heide, O., van den Berg, C. A. T. & Sbrizzi, A., Feb 2026, In: Magnetic Resonance Materials in Physics, Biology and Medicine. 39, 1, p. 47-59 13 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
Efficient estimation of gadolinium-based contrast agent concentration using transient-state keyhole MR-STAT
Xu, F., Versteeg, E., Liu, H., Fuderer, M., van den Heide, O., van der Kemp, W. J. M., van den Berg, C. A. T. & Sbrizzi, A., Dec 2025, In: Medical physics. 52, 12, 10 p., e70155.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Downloads (Pure)
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Modelling and Optimization of MRI processes
Sbrizzi, A. (Speaker)
21 Oct 2021Activity: Talk or presentation › Invited talk › Popular
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Deep Learning in Radiotherapy
Maspero, M. (Organiser), Savenije, M. (Organiser), Sbrizzi, A. (Speaker), Kuijf, H. (Speaker), Huttinga, N. (Speaker), van den Berg, C. (Organiser), Maspero, M. (Speaker), Kontaxis, C. (Speaker) & Van Eijnatten, M. A. J. M. (Speaker)
Mar 2021Activity: Other
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Deep Learning in Radiotherapy
Maspero, M. (Organiser), van den Berg, C. (Organiser), Savenije, M. (Organiser), Stemkens, B. (Organiser), Sbrizzi, A. (Speaker), Kuijf, H. (Speaker), Huttinga, N. (Speaker), Eppenhof, K. (Speaker), Kontaxis, C. (Speaker), Bol, G. H. (Speaker), Dinkla, A. (Speaker) & Verhoeff, J. (Speaker)
28 Nov 2019 → 29 Nov 2019Activity: Other
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Deep Learning in Radiotherapy
van den Berg, C. (Organiser), Maspero, M. (Organiser), Savenije, M. (Organiser), Dinkla, A. (Organiser), Wolterink, J. (Invited speaker), Sbrizzi, A. (Invited speaker), Stemkens, B. (Invited speaker) & Kontaxis, C. (Invited speaker)
1 Feb 2019Activity: Participating in or organising an event › Participation in workshop, seminar, course › Academic