Chantal Tax
Brief Description
Chantal Tax is currently employed as a Assistant Professor at the Radiology department of the University Medical Center Utrecht and the Imaging Science Insitute. She is also affliated to the Cardiff University Brain Research Imaging Centre (CUBRIC) as a Research Fellow.
Background
I have received my masters in Medical Engineering from Eindhoven University of Technology in 2012 and PhD in Medical Imaging (with a focus on diffusion MRI) in 2016 at the UMCU. Since then, I have been working at CUBRIC, Cardiff University in the UK on extracting new information from multi-contrast MRI experiments with the ultra-strong gradient Connectom MRI scanner. I am interested in optimising different aspects of the preprocessing and analysis pipeline, as well as applying differential geometric methods to diffusion MRI data. My work at the Image Sciences Institute focuses on optimising MRI experiment design for MRI scanners with clinical gradient systems.
Fellowship and Awards
Recommended Publications
- Planchuelo-Gómez, Á., Descoteaux, M., Larochelle, H., Hutter, J., Jones, D. K., & Tax, C. M. W. (2024). Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning. Medical Image Analysis, 97, 103134. https://doi.org/10.1016/j.media.2024.103134
-
G. C. Arends, E. Versteeg, A. De Luca, F. Marc, T. H. M. Roos, D. W. J. Klomp, M. Froeling, J. C. W. Siero, C. M. W. Tax. Feasibility of strong diffusion encoding and fast readout using
a plug-and-play head gradient insert at 7 T. Magnetic Resonance in Medicine, 94(5), 2304–2316 (2025).
https://doi.org/10.1002/mrm.30613
- Tax, C. M. W., Bastiani, M., Veraart, J., Garyfallidis, E., & Irfanoglu, M. O. (2021). What’s new and what’s next in diffusion MRI preprocessing. NeuroImage, 241, 118830. https://doi.org/10.1016/j.neuroimage.2021.118830
Keywords
diffusion MRI, gradient inserts, tractography