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.
People
Journal publications
2012
“Improved sensitivity to cerebral white matter abnormalities in Alzheimer's disease with spherical deconvolution based tractography.”, PloS one, vol. 7, no. 8, p. e44074, 2012. ,
“Estimation and removal of noise from single and multiple coil Magnetic Resonance images”, 2012. Download thesis (3.23 MB) ,
“Identification and characterization of Huntington related pathology: an in vivo DKI imaging study”, NeuroImage, vol. 63, no. 2, pp. 653-662, 2012. ,
“Nonlocal maximum likelihood estimation method for denoising multiple-coil magnetic resonance images”, Magnetic Resonance Imaging, vol. 30, no. 10, pp. 1512-1518, 2012. Download full paper (1.11 MB) ,
“Improved analysis of brain connectivity using high angular resolution diffusion MRI”, University of Antwerp, 2012. Download thesis book (35.42 MB) ,
“The influence of complex white matter architecture on the mean diffusivity in diffusion tensor MRI of the human brain”, NeuroImage, vol. 59, no. 3, pp. 2208 - 2216, 2012. ,
“Microstructural changes observed with DKI in a transgenic Huntington rat model: Evidence for abnormal neurodevelopment.”, NeuroImage, vol. 59, pp. 957-67, 2012. ,
“Diffusion kurtosis imaging in the grading of gliomas”, Radiology, vol. 2, pp. 492-501, 2012. ,
“A complementary DTI-histological study in a model of Huntingtons disease”, Neurobiology of Aging, vol. 33, pp. 945-959, 2012. ,