Jan Sijbers

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Contact

Prof. Dr.
Jan
Sijbers
Faculty members
Email: 
jan.sijbers@uantwerpen.be
Address: 

imec - Vision Lab,
Department of Physics
University of Antwerp (CDE)
Universiteitsplein 1 (N.1.13)
B-2610 Antwerpen, Belgium

Phone: 
+32 (0) 3 265 89 11

Spokesperson imec-Visionlab


Jan Sijbers on ResearchGate

Personal

Biography: 

Jan Sijbers received a PhD in Physics from the University of Antwerp, entitled Signal and Noise Estimation from Magnetic Resonance Images". Since 2014, he is a full professor at the University of Antwerp (100%). He holds an additional 10% position as a Research Director at imec. He is Senior Area Editor of IEEE Transactions on Image Processing as well as Associated Editor of IEEE Transactions on Computational Imaging. Jan Sijbers is the head of imec-Vision Lab and co-founder of IcoMetrix and Deltaray. His main interest are in image reconstruction, processing, and analysis with focus on Magnetic Resonance Imaging and X-ray Computed Tomography.

Research

Main research interests:

  • Quantitative Magnetic resonance imaging
  • Tomographic image reconstruction, processing and analysis
Key publications: 
N. Six, De Beenhouwer, J., and Sijbers, J., “poly-DART: A discrete algebraic reconstruction technique for polychromatic X-ray CT”, Optics Express, vol. 27, no. 23, pp. 33427-33435, 2019.PDF icon Download paper (997.08 KB)
G. Ramos-Llordén, Vegas-Sánchez-Ferrero, G., Björk, M., Vanhevel, F., Parizel, P. M., Estépar, R. San José, den Dekker, A. J., and Sijbers, J., “NOVIFAST: A fast algorithm for accurate and precise VFA MRI T1 mapping”, IEEE Transactions on Medical Imaging, vol. 37, no. 11, pp. 2414 - 2427, 2018.PDF icon Download paper (3.3 MB)
K. J. Batenburg and Sijbers, J., “DART: A practical reconstruction algorithm for discrete tomography”, IEEE Transactions on Image Processing, vol. 20, pp. 2542-2553, 2011.PDF icon Download paper (2.12 MB)
J. Sijbers and den Dekker, A. J., “Maximum Likelihood estimation of signal amplitude and noise variance from MR data”, Magnetic Resonance in Medicine, vol. 51, pp. 586-594, 2004.PDF icon Download full paper (295.12 KB)
J. Sijbers and Postnov, A., “Reduction of ring artifacts in high resolution micro-CT reconstructions”, Physics in Medicine and Biology, vol. 49, pp. 247-253, 2004.
J. Sijbers, den Dekker, A. J., Van Audekerke, J., Verhoye, M., and Van Dyck, D., “Estimation of the noise in magnitude MR images”, Magnetic Resonance Imaging, vol. 16, pp. 87-90, 1998.PDF icon Download paper (64.9 KB)
J. Sijbers, den Dekker, A. J., Scheunders, P., and Van Dyck, D., “Maximum Likelihood estimation of Rician distribution parameters”, IEEE Transactions on Medical Imaging, vol. 17, pp. 357-361, 1998.PDF icon Download paper (106.26 KB)

Teaching

Teaching activities: 

Advisor for PhD Theses

2024
P. Lopes, “Automating the planning of transcatheter Mitral Valve Interventions”, 2024.
J. Renders, “Improved 4DCT reconstruction algorithms for the imaging of foam microstructure formation”, 2024.
N. Six, “Improved X-ray CT reconstruction techniques with non-linear imaging models”, 2024.
2023
T. Elberfeld, “Parametric Fiber Analysis for Glass Fiber-reinforced Composite Tomographic Images”, 2023.PDF icon Download PhD thesis (35.09 MB)
J. Van Houtte, “Surface and image-based registration methods with statistical modeling for biomedical applications”, 2023.PDF icon Download PhD thesis (29.72 MB)
2022
A. Presenti, “3D X-ray radiography-based inspection of manufactured objects”, 2022.
V. Nguyen, “Advances in biplanar X-ray imaging: calibration and 2D/3D registration”, 2022.PDF icon Download PhD thesis (8.02 MB)
D. Giraldo, “Computational anatomy strategies for characterization of brain patterns associated with Alzheimer's disease”, 2022.PDF icon Download PhD thesis (25.92 MB)
K. Stanković, “Quantitative assessment of 3D foot shape using statistical shape analysis”, 2022.PDF icon Download thesis (7.16 MB)
2021
M. Naeyaert, “Strategies for efficient acquisition and reconstruction of structural and quantitative MRI”, 2021.
2020
P. Bladt, “Accurate and precise perfusion parameter estimation in pseudo-continuous arterial spin labeling MRI”, 2020.
2019
F. Danckaers, “The Development of 3D Statistical Shape Models for Diverse Applications”, 2019.
2018
E. Janssens, “Advances in X-ray reconstruction algorithms for limited data problems in conventional and non-conventional projection geometries”, 2018.PDF icon Download thesis (17.29 MB)
G. Ramos-Llordén, “Improved MRI Relaxometry through Statistical Signal Processing”, University of Antwerp, Antwerp, 2018.PDF icon Download thesis (19.25 MB)
Q. Collier, “Robust estimation of diffusion tensor and diffusion kurtosis imaging parameters”, University of Antwerp, Antwerp, 2018.
2017
D. Lacko, “The application of 3D anthropometry for the development of headgear: a case study on the design of ergonometric brain-computer interfaces”, 2017.PDF icon Download thesis (3.52 MB)
T. Roine, “Improved reliability of fiber orientation estimation and graph theoretical analysis of structural brain networks with diffusion MRI”, University of Antwerp, 2017.
J. Cant, “Iterative reconstruction for mobile chest tomosynthesis”, 2017.PDF icon Download thesis (5.77 MB)
V. Van Nieuwenhove, “Model-based reconstruction algorithms for dynamic X-ray CT”, 2017.PDF icon Download thesis (4.65 MB)
M. Van Dael, “Online quality control of fruit and vegetables using X-ray imaging”, 2017.
J. Gonnissen, “Optimal statistical experiment design for detecting and locating light atoms using quantitative high resolution (scanning) transmission electron microscopy”, 2017.PDF icon Download thesis (8.1 MB)
2016
G. Van Steenkiste, “Super-resolution estimation of quantitative MRI parameters”, University of Antwerp, 2016.PDF icon Download PhD thesis (7.56 MB)
2015
N. Roberto Vigano, “Full-field X-ray orientation imaging using convex optimization and a discrete representation of six-dimensional position - orientation space”, 2015.
G. Van Eyndhoven, “Model-based iterative reconstruction algorithms for computed tomography”, 2015.PDF icon Download thesis (4.93 MB)
S. Van der Jeught, “Optical techniques for real-time morphology measurement of the tympanic membrane”, 2015.
A. Dabravolski, “Towards In Loco X-ray Computed Tomography”, 2015.
2013
T. Roelandts, “Local Prior Knowledge in Tomography”, 2013.PDF icon Download PhD thesis (15.6 MB)
J. Veraart, “Optimal estimation of diffusion MRI parameters”, 2013.PDF icon Download thesis (15.42 MB)
2012
Z. Mai, “Advances in the quality and resolution improvement of Magnetic Resonance images”, 2012.
J. Rajan, “Estimation and removal of noise from single and multiple coil Magnetic Resonance images”, 2012.PDF icon Download thesis (3.23 MB)
B. Jeurissen, “Improved analysis of brain connectivity using high angular resolution diffusion MRI”, University of Antwerp, 2012.PDF icon Download thesis book (35.42 MB)
W. Van Aarle, “Tomographic segmentation and discrete tomography for quantitative analysis of transmission tomography data”, University of Antwerp, Antwerp, Belgium, 2012.PDF icon Download PhD thesis (39.16 MB)
2010
R. Pinho, “A Decision Support System for the Assessment and Stenting of Tracheal Stenosis”, University of Antwerp, Antwerp, 2010.PDF icon Download thesis (3.48 MB)
2009
D. H. J. Poot, “Advances in the reconstruction and statistical processing of Magnetic Resonance images”, 2009.PDF icon Download thesis (6.18 MB)
W. Van Hecke, “Improved Processing for Diffusion Tensor Magnetic Resonance Images for Coregistration, Atlas Construction, and Voxel Based Analysis”, University of Antwerp, Antwerp, 2009.PDF icon Download thesis (35.03 MB)
T. Huysmans, “Parameterization and Correspondence for Improved Modeling, Analysis, and Visualization of Tubular Surfaces.”, University of Antwerp, Antwerp, 2009.PDF icon Download Thesis (40.14 MB)
G. Van Gompel, “Towards accurate image reconstruction from truncated X-ray CT projections”, University of Antwerp, Antwerp, 2009.PDF icon Download thesis (3.2 MB)
2007
A. Smolders, “Data-driven methods for the analysis of time-resolved mental chronometry fMRI data sets”, 2007.PDF icon Download thesis (3.79 MB)
2006
A. Leemans, “Modeling and Processing of Diffusion Tensor Magnetic Resonance Images for Improved Analysis of Brain Connectivity”, University of Antwerp, Antwerp, 2006.PDF icon Download thesis (6.77 MB)