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

2010

D. H. J. Poot, W. Pintjens, M. Verhoye, A. Van Der Linden, and J. Sijbers, "Improved B0 field map estimation for high field EPI", Magnetic Resonance Imaging, vol. 28, no. 3, pp. 441-450, April, 2010. Download full paper (1.29 MB)

2009

D. H. J. Poot, "Advances in the reconstruction and statistical processing of Magnetic Resonance images", University of Antwerp, vol. PhD in Sciences: Physics, 2009. Download thesis (6.18 MB)

2008

Pages