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

J. Veraart, "Optimal estimation of diffusion MRI parameters", Department of Physics, vol. PhD in Sciences: Physics, 10/2013.
H. Segers, W J. Palenstijn, K. J. Batenburg, and J. Sijbers, "Discrete Tomography in MRI: a Simulation Study", Fundamenta Informaticae, vol. 125, issue 3-4, pp. 223-237, 2013.
J. Veraart, J. Rajan, R. R. Peeters, A. Leemans, S. Sunaert, and J. Sijbers, "Comprehensive framework for accurate diffusion MRI parameter estimation", Magnetic Resonance in Medicine, vol. 81, issue 4, pp. 972-984, 2013. ISMRM 2013 poster (476.78 KB)

Pages