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

Progress and Challenges towards a Standard Approach for Dielectric Measurement and Reporting of Biological Tissues Emily Porter, Stefano Mandija, Raquel C. Conceição, Marta Cavagnaro, Punit Prakash, Sergio Curto
2024, p.99-101
A reusable 3D printed brain-like phantom for benchmarking electrical properties tomography reconstructions T G Meerbothe, S Florczak, C A T van den Berg, R Levato, S Mandija
Magnetic Resonance in Medicine, 2024, vol. 92, p.2271-2279
Preparation-based (Formula Presented.) mapping in the heart using Bloch–Siegert shifts Paulina Šiurytė, Joao Tourais, Yi Zhang, Chiara Coletti, Christal van de Steeg-Henzen, Stefano Mandija, Qian Tao, Markus Henningsson, Sebastian Weingärtner
Magnetic Resonance in Medicine, 2024, vol. 92, p.2596-2606
MiPhDUO Sabrina Zumbo, Stefano Mandija, Tommaso Isernia, Martina T. Bevacqua
Inverse Problems, 2024, vol. 40
Unrolled Optimization via Physics-assisted Convolutional Neural Network for MR-based Electrical Properties Tomography Sabrina Zumbo, Stefano Mandija, Ettore F. Meliado, Peter Stijnman, Thierry G. Meerbothe, Cornelis A.T.van den Berg, Tommaso Isernia, Martina T. Bevacqua
IEEE Open Journal of Engineering in Medicine and Biology, 2024, vol. 5, p.505-513
Experimental demonstration of real-time cardiac physiology-based radiotherapy gating for improved cardiac radioablation on an MR-linac Osman Akdag, Pim T S Borman, Stefano Mandija, Peter L Woodhead, Prescilla Uijtewaal, Bas W Raaymakers, Martin F Fast
Medical Physics, 2024, vol. 51, p.2354-2366

Fellowships & Awards

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