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

2011

Z. Mai, R. Hanel, K. J. Batenburg, M. Verhoye, P. Scheunders, and J. Sijbers, "Bias field reduction by localized Lloyd-Max quantization", Magnetic Resonance Imaging, vol. 29, issue 4, pp. 536-545, 2011.

2010

J. Rajan, D. H. J. Poot, J. Juntu, and J. Sijbers, "Noise measurement from magnitude MRI using local estimates of variance and skewness.", Physics in medicine and biology, vol. 55, issue 16, pp. N441-9, 2010 Aug 21. Download full paper (262.16 KB)

Pages