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.
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Journal publications
2006
“Modeling and Processing of Diffusion Tensor Magnetic Resonance Images for Improved Analysis of Brain Connectivity”, University of Antwerp, Antwerp, 2006. Download thesis (6.77 MB) ,
“Multiscale white matter fiber tract coregistration: a new feature-based approach to align diffusion tensor data”, Magnetic Resonance in Medicine, vol. 55, pp. 1414-1423, 2006. ,
2005
“Affine Coregistration of Diffusion Tensor Magnetic Resonance Images Using Mutual Information”, Lecture Notes in Computer Science, vol. 3708, pp. 523-530, 2005. Download full paper (1.26 MB) ,
“Mathematical Framework for Simulating Diffusion Tensor MR Neural Fiber Bundles”, Magnetic Resonance in Medicine, vol. 53, pp. 944-953, 2005. Download full paper (1.55 MB) ,
“A likelihood ratio test for functional MRI data analysis to account for colored noise”, Lecture Notes in Computer Science, vol. 3708, pp. 538-546, 2005. Download full paper (483.15 KB) ,
“Implications of the Rician distribution for fMRI generalized likelihood ratio tests”, Magnetic Resonance Imaging, vol. 23, pp. 953-959, 2005. Download paper (1.36 MB) ,
“Generalized likelihood Ratio tests for complex fMRI data: a simulation study”, IEEE Transactions on Medical Imaging, vol. 24, pp. 604-611, 2005. Download paper (377.11 KB) ,
2004
“Maximum Likelihood estimation of signal amplitude and noise variance from MR data”, Magnetic Resonance in Medicine, vol. 51, pp. 586-594, 2004. Download full paper (295.12 KB) ,
2000
“Special designed RF-antenna with integrated non-invasive carbon electrodes for simultaneous MRI and EEG acquisition at 7T”, Magnetic Resonance Imaging, vol. 18, pp. 887-891, 2000. Download full paper (179 KB) ,