Quinten Beirinckx

Quinten Beirinckx's picture



imec - Vision Lab,
Department of Physics
University of Antwerp (CDE)
Universiteitsplein 1 (N.1.16)
B-2610 Antwerpen, Belgium

+32 (0) 3 265 24 58
+32 (0) 3 265 22 45

Follow me on:
LinkedIn-profiel van Quinten Beirinckx weergeven 

Follow me on ResearchGate

Follow me on Google Scholar



Quinten received his Master of Science (MSc) in Physics degree in 2016 at the University of Antwerp, with a major in Biophysics and Medical Physics. For the completion of his BSc and MSc thesis he joined the Laboratory of Biophysics and BioMedical Physics (BIMEF) research group of the University of Antwerp (Antwerp, Belgium). His thesis work involved the determination of structure-function relationships of biomolecules using Electron Paramagnetic Resonance spectroscopy and ab initio Density Functional Theory. In 2014, as part of the Erasmus exchange program, he was a visiting student at the University of Uppsala (Uppsala, Sweden), where he gained more hands-on experience with the topic of electronic structure calculations.

From January 2017 onwards, Quinten is pursuing a PhD degree in the field of Quantitative Magnetic Resonance Imaging (MRI) at the imec-Vision Lab, Department of Physics, University of Antwerp. His main research focus is the development and application of model-based MRI super-resolution reconstruction methods with integrated motion estimation, and their translation into clinical practice so that they can help patients on a day-to-day level.

In particular, he is interested in data acquisition and image reconstruction methods that make MRI faster, more precise, more robust against motion artifacts, allow imaging of new anatomical or pathological processes, make image interpretation easier and more standardized by moving from qualitative image contrasts to quantitative biomarkers for disease processes.


Research interests:

  • Development of quantitative MRI models for improved detection of brain diseases.
  • Model-based super-resolution reconstruction with joint patient motion estimation for improved quantitative parameter mapping.
  • Model-based super-resolution strategies for cerebral blood flow mapping using Arterial Spin Labeling MRI.
  • Super-resolution reconstruction to accelerate the development of low-cost ultra-low-field MRI scanners for accessible brain health screening.


Teaching activities: 
  • 2017 - present: Exercises "Fysica voor biomedisch onderzoek" (tutor: Prof. Dr. Jan Sijbers)
  • 2017 - present: Exercises "Fysica m.i.v. wiskunde" (tutor: Prof. Dr. Jan Sijbers)