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

2007

2006

2005

J. Sijbers, A J. den Dekker, and R. Bos, "A likelihood ratio test for functional MRI data analysis to account for colored noise", Lecture Notes in Computer Science, vol. 3708, pp. 538-546, September, 2005. PDF icon Download full paper (483.15 KB)
A J. den Dekker, and J. Sijbers, "Implications of the Rician distribution for fMRI generalized likelihood ratio tests", Magnetic Resonance Imaging, vol. 23, no. 9, pp. 953-959, 2005. PDF icon Download full paper (467.24 KB)
J. Sijbers, and A J. den Dekker, "Generalized likelihood Ratio tests for complex fMRI data: a simulation study", IEEE Transactions on Medical Imaging, vol. 24, no. 5, pp. 604-611, May, 2005. PDF icon Download full paper (376.98 KB)

Pages