Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a biomedical imaging technique used to visualize detailed internal structures. The Quantitative MRI group of the Vision Lab develops novel reconstruction, processing and analysis algorithms to process anatomical, functional or diffusion-weighted MRI data. These methods rely on profound knowledge of the MR imaging principles. The core competence of the group is quantitative, statistical parameter estimation, which is the basis for developing novel techniques for image reconstruction, image denoising, higher order diffusion parameter estimation (DTI, DKI, ...), and fiber tractography.

Journal publications

2013

D. H. J. Poot, B. Jeurissen, Y. Bastiaensen, J. Veraart, W. Van Hecke, P. M. Parizel, and J. Sijbers, "Super-Resolution for Multislice Diffusion Tensor Imaging", Magnetic Resonance in Medicine, vol. 69, issue 1, pp. 103–113, 2013. Download paper (1.04 MB)

2012

Z. Mai, "Advances in the quality and resolution improvement of Magnetic Resonance images", Department of Physics, vol. PhD in Sciences: Physics, 03/2012.
B. Jeurissen, "Improved analysis of brain connectivity using high angular resolution diffusion MRI", Department of Physics, vol. PhD in Sciences: University of Antwerp, pp. 208, 03/2012. Download thesis book (35.42 MB)

Pages