Profile photo Stefano Mandija

Stefano Mandija

Assistant Professor

Strategic program(s):

Biography

Stefano is currently employed as assistant professor at the radiotherapy department of the University Medical Center Utrecht (The Netherlands). His research topics range from fundamental and methodological research to clinical development of quantitative MRI methods and MRI biomarkers for diagnostic and radiotherapy treatment response prediction and monitoring. In particular, he works on the characterization of tissue electrical properties for radiotherapy treatments efficacy assessment using MRI (NWO recipient VENI grant 2020), MRI-guided cardiac radio-ablation using stereotactic radiotherapy (STOPSTORM.eu consortium), MRI-based guidance of spinal cord stimulation (RESTORE and Prep2GO consortia), and he also supports the development and translation of quantitative MRI methods in clinical settings (MR-STAT).

Background

Stefano was born in Camposampiero, Padua (Italy) in September 1988. He was educated as a bioengineer at the University of Padua, 2007-2013. Afterwards, he moved to The Netherlands where he received his Ph.D. in the field of non-invasive characterization of tissue electrical properties with MRI at the University Medical Center Utrecht (The Netherlands) in 2018. Subsequently, he was offered a Post-Doc position at the Radiology and Radiotherapy departments of the University Medical Center Utrecht. Because of his passion for MRI and his positive attitude, which makes him looking at research challenges as new opportunities to expand his knowledge and to establish new collaborations, he also recently started investigating MRI-based guidance of cardiac ablation using stereotactic radiotherapy at the radiotherapy department of the University Medical Center Utrecht within the European STOPSTORM consortium.

Strategic program(s):

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Research groups

Computational Imaging Group for MRI Therapy & Diagnostics

Research 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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Recent publications

Respiratory navigator-guided multi-slice free-breathing cardiac T1 mapping on a magnetic resonance-guided linear accelerator Beau P Pontré, Stefano Mandija, Manon M N Aubert, Tim Schakel, Osman Akdag, Katrinus Keijnemans, Pim T S Borman, Astrid L H M W van Lier, Cornelis A T van den Berg, Martin F Fast
Physics and Imaging in Radiation Oncology, 2025, vol. 34
Fast whole brain relaxometry with Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT) at 3 T Martin B. Schilder, Stefano Mandija, Sarah M. Jacobs, Jordi P.D. Kleinloog, Hanna Liu, Oscar van der Heide, Beyza Köktaş, Federico D’Agata, Vera C.W. Keil, Evert Jan P.A. Vonken, Jan Willem Dankbaar, Jeroen Hendrikse, Tom J. Snijders, Cornelis A.T. van den Berg, Anja G. van der Kolk, Alessandro Sbrizzi
Magnetic Resonance Materials in Physics, Biology and Medicine, 2025, vol. 38, p.333-345
A joint three-plane physics-constrained deep learning based polynomial fitting approach for MR electrical properties tomography Kyu Jin Jung, Thierry G. Meerbothe, Chuanjiang Cui, Mina Park, Cornelis A.T. van den Berg, Stefano Mandija, Dong Hyun Kim
NeuroImage, 2025, vol. 307
Auto-contouring of cardiac substructures for Stereotactic arrhythmia radioablation (STAR) Luuk H G van der Pol, Oliver Blanck, Melanie Grehn, Tomáš Blazek, Lukáš Knybel, Brian V Balgobind, Joost J C Verhoeff, Marcin Miszczyk, Slawomir Blamek, Sabrina Reichl, Nicolaus Andratschke, Felix Mehrhof, Judit Boda-Heggemann, Bartłomiej Tomasik, Stefano Mandija, Martin F Fast
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2024, vol. 202
Color-map recommendation for MR relaxometry maps Miha Fuderer, Barbara Wichtmann, Fabio Crameri, Nandita M. de Souza, Bettina Baeßler, Vikas Gulani, Meiyun Wang, Dirk Poot, Ruud de Boer, Matt Cashmore, Kathryn E. Keenan, Dan Ma, Carolin Pirkl, Nico Sollmann, Sebastian Weingärtner, Stefano Mandija, Xavier Golay
Magnetic Resonance in Medicine, 2024, vol. 93, p.490-506
Evaluation of the impact of cardiac implantable electronic devices on cine MRI for real-time adaptive cardiac radioablation on a 1.5 T MR-linac Osman Akdag, Stefano Mandija, Pim T S Borman, Paris Tzitzimpasis, Astrid L H M W van Lier, Rick Keesman, Bas W Raaymakers, Martin F Fast
Medical Physics, 2024, vol. 52, p.99-112

Fellowships & Awards

NWO VENI Grant (2020): MR-based measurements of ‘Tissue ElectroMagnetic Properties in radiation Oncology (TEMPO)’: A predictive tool for early-stage assessment of radiotherapy treatments

Junior Fellow of the International Society for Magnetic Resonance in Medicine, ISMRM (2020)

Trainee Educational Stipend of the International Society for Magnetic Resonance in Medicine, ISMRM (2014, 2015, 2016)