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
2017
“High angular resolution diffusion-weighted imaging in mild traumatic brain injury”, NeuroImage: Clinical, vol. 13, pp. 174 - 180, 2017.
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“A unified Maximum Likelihood framework for simultaneous motion and T1 estimation in quantitative MR T1 mapping”, IEEE Transactions on Medical Imaging, vol. 36, no. 2, pp. 433 - 446, 2017. ,
“Super-resolution T1 estimation: quantitative high resolution T1 mapping from a set of low resolution T1 weighted images with different slice orientations”, Magnetic Resonance in Medicine, vol. 77, no. 5, pp. 1818–1830, 2017.
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2016
“Denoising of diffusion MRI using random matrix theory”, NeuroImage, vol. 142, pp. 384-396, 2016.
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“Super-resolution estimation of quantitative MRI parameters”, University of Antwerp, 2016.
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“T1 relaxometry of crossing fibres in the human brain.”, NeuroImage, 2016. ,
“P. 3.033 Lateralisation of the arcuate fasciculus in psychosis & the role in verbal learning & auditory verbal hallucinations”, European Neuropsychopharmacology, vol. 26, no. 1, pp. S76–S77, 2016. ,
“D-BRAIN: Anatomically Accurate Simulated Diffusion MRI Brain Data”, PlosOne, vol. 11, pp. 1-23, 2016.
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“Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone-induced demyelination and spontaneous remyelination”, NeuroImage, vol. 125, pp. 363–377, 2016. ,
“Cortical reorganization in an astronaut’s brain after long-duration spaceflight”, Brain Structure and Function, vol. 221, no. 5, pp. 2873–2876, 2016.
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