Ben Jeurissen

Primary tabs

Contact

Prof. Dr.

Ben

Jeurissen

Faculty members

Email:

ben.jeurissen@uantwerpen.be

Address:

Vision Lab
University of Antwerp (CDE)
Universiteitsplein 1, N.1.11
B-2610 Wilrijk, Belgium

Phone:

+32 (0) 3 265 36 56

Find me on:

I am supported by:

I am a contributor to:
MRtrix MRtrix

Personal

Biography:

Ben Jeurissen received an MSc in Computer Science in 2004 and in Biomedical Imaging in 2006. In 2012, he obtained a PhD in Science from the University of Antwerp. From 2012, he worked as a post-doctoral researcher in the imec-Vision Lab, at the Physics department of the University of Antwerp and at The Florey Institute of Neuroscience and Mental Health in Melbourne, Australia. He is a Junior Fellow of the International Society for Magnetic Resonance in Medicine and specializes in image processing of diffusion MRI data for investigating microstructural tissue organization. In 2023, Ben Jeurissen obtained an ERC Consolidator Grant to study brain microstructure using a data-driven approach. In 2024, he became an Associate Research Professor at the Department of Physics of University of Antwerp to work on Medical imaging and analysis with a focus on quantitative MRI.

Research

Watch my talks on diffusion MRI fiber tracking and acquisition.

Research Interests:

Medical image computing
Quantitative Magnetic Resonance Imaging
Diffusion Magnetic Resonance Imaging

Key publications:

J. Morez, Szczepankiewicz, F., den Dekker, A. J., Vanhevel, F., Sijbers, J., and Jeurissen, B., “Optimal experimental design and estimation for q-space trajectory imaging”, Human Brain Mapping, vol. 44, no. 4, pp. 1793-1809, 2023.

Download paper (5.87 MB)

D. Giraldo, Smith, R. E., Struyfs, H., Niemantsverdriet, E., De Roeck, E., Bjerke, M., Engelborghs, S., Romero, E., Sijbers, J., and Jeurissen, B., “Investigating tissue-specific abnormalities in Alzheimer’s disease with multi-shell diffusion MRI”, Journal of Alzheimer's Disease, vol. 90, no. 4, pp. 1771-1791, 2022.

Q. Beirinckx, Jeurissen, B., Nicastro, M., Poot, D. H. J., Verhoye, M., den Dekker, A. J., and Sijbers, J., “Model-based super-resolution reconstruction with joint motion estimation for improved quantitative MRI parameter mapping”, Computerized Medical Imaging and Graphics, vol. 100, no. 102071, pp. 1-16, 2022.

Download paper (15.42 MB)

Download supplementary material (1.35 MB)

B. Jeurissen and Szczepankiewicz, F., “Multi-tissue spherical deconvolution of tensor-valued diffusion MRI.”, Neuroimage, vol. 245, p. 118717, 2021.

J. Morez, Sijbers, J., Vanhevel, F., and Jeurissen, B., “Constrained spherical deconvolution of non-spherically sampled diffusion MRI data”, Human Brain Mapping, vol. 42, pp. 521–538, 2020.

Download paper (5.87 MB)

S. Jillings, Van Ombergen, A., Tomilovskaya, E., Rumshiskaya, A., Litvinova, L., Nosikova, I., Pechenkova, E., Rukavishnikov, I., Kozlovskaya, I. B., Manko, O., Danilichev, S., Sunaert, S., Parizel, P. M., Sinitsyn, V., Petrovichev, V., Laureys, S., Eulenburg, Pzu, Sijbers, J., Wuyts, F. L., and Jeurissen, B., “Macro- and microstructural changes in cosmonauts’ brains after long-duration spaceflight”, Science Advances, vol. 6, no. 36, p. eaaz9488, 2020.

Download paper (942.53 KB)

P. Van Dyck, Smekens, C., Vanhevel, F., De Smet, E., Roelant, E., Sijbers, J., and Jeurissen, B., “Super-Resolution Magnetic Resonance Imaging of the Knee Using 2-Dimensional Turbo Spin Echo Imaging”, Investigative Radiology, vol. 55, no. 8, pp. 481-493, 2020.

J. - D. Tournier, Smith, R., Raffelt, D., Tabbara, R., Dhollander, T., Pietsch, M., Christiaens, D., Jeurissen, B., Yeh, C. - H., and Connelly, A., “MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation.”, Neuroimage, p. 116137, 2019.

B. Jeurissen, Descoteaux, M., Mori, S., and Leemans, A., “Diffusion MRI fiber tractography of the brain”, NMR in Biomedicine, 2019.

A. Van Ombergen, Jillings, S., Jeurissen, B., Tomilovskaya, E., Rühl, M., Rumshiskaya, A., Nosikova, I., Litvinova, L., Annen, J., Pechenkova, E. V., Kozlovskaya, I. B., Sunaert, S., Parizel, P. M., Sinitsyn, V., Laureys, S. S. L., Sijbers, J., Eulenburg, Pzu, and Wuyts, F. L., “Brain Tissue–Volume Changes in Cosmonauts”, New England Journal of Medicine, vol. 379, no. 17, pp. 1678 - 1680, 2018.

G. Van Steenkiste, Jeurissen, B., Veraart, J., den Dekker, A. J., Parizel, P. M., Poot, D. H. J., and Sijbers, J., “Super-resolution reconstruction of diffusion parameters from diffusion-weighted images with different slice orientations”, Magnetic Resonance in Medicine, vol. 75, no. 1, pp. 181-195, 2016.

B. Jeurissen, Tournier, J. - D., Dhollander, T., Connelly, A., and Sijbers, J., “Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data”, NeuroImage, vol. 103, pp. 411–426, 2014.

B. Jeurissen, Leemans, A., and Sijbers, J., “Automated correction of improperly rotated diffusion gradient orientations in diffusion-weighted MRI”, Medical Image Analysis, vol. 18, pp. 953-962, 2014.

J. Veraart, Sijbers, J., Sunaert, S., Leemans, A., and Jeurissen, B., “Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls.”, NeuroImage, vol. 81, no. 1, pp. 335-346, 2013.

Download paper (2.89 MB)

B. Jeurissen, Leemans, A., Tournier, J. - D., Jones, D. K., and Sijbers, J., “Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging.”, Human Brain Mapping, vol. 34, pp. 2747-66, 2013.

B. Jeurissen, Leemans, A., Jones, D. K., Tournier, J. - D., and Sijbers, J., “Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution”, Human Brain Mapping, vol. 32, no. 3, pp. 461 - 479, 2011.

Teaching

Teaching activities:

Lecturer Digital signal and image processing: 2013-present

Lecturer Systems Neuroscience: 2022-present

Lecturer Advanced digital signal and image processing: 2013-2017

Exercises Image processing: 2012-2013

Exercises Digital signal and image processing: 2012-2013

Exercises Mathematical methods for Physics I: 2008-2009

Awards & Honors

Editorial mention in Hot Topics in Diagnostic Imaging—Encompassing Advances in MR, Photon-Counting CT, and Ultrasound for the work "Deep Learning-Enhanced Accelerated 2D TSE and 3D Super-Resolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment", October 2024

2024 Australian Museum Eureka Prize finalist for the work "MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation"

2023 ERC Consolidator Grant from the European Research Council

Compelling Results Award from the 2023 International Space Station Research and Development Conference for the Investigation of structural and functional changes to the brain in space, August 2023