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
2013
, “Limbic and callosal white matter changes in euthymic bipolar I disorder: an advanced diffusion MRI tractography study”, Biologicial Psychiatry, vol. 73, no. 2, pp. 194-201, 2013.
, “Does the use of hormonal contraceptives cause microstructural changes in cerebral white matter? Preliminary results of a DTI and tractography study.”, European radiology, vol. 23, no. 1, pp. 57-64, 2013.
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, “Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging.”, Human Brain Mapping, vol. 34, pp. 2747-66, 2013.
, “Super-Resolution for Multislice Diffusion Tensor Imaging”, Magnetic Resonance in Medicine, vol. 69, no. 1, pp. 103–113, 2013.
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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.
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, “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.
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, “Improved analysis of brain connectivity using high angular resolution diffusion MRI”, University of Antwerp, 2012.
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