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Researcher

Ben Jeurissen

  • Research Expertise:My work is focused on extracting robust and clinically relevant information from quantitative MRI data acquired within realistic scan times. The novel acquisition and analysis techniques that I develop are applicable across a wide range of clinical and neuroscientific problems where white matter and its connectivity are of interest, including Alzheimer's disease, brain development and neurosurgical planning.
  • Keywords:DIFFUSION-WEIGHTED IMAGING, PARAMETER ESTIMATION, IMAGE ANALYSIS, MRI, IMAGE PROCESSING, NEURO MRI, CONNECTIVITY, MRI IMAGING, Computer science (incl. applied informatics)
  • Disciplines:High performance computing, Modelling and simulation, Image processing, Signal processing, Biomedical image processing, Data visualisation and imaging , Developmental neuroscience, Neuroanatomy, Neurological and neuromuscular diseases
  • Research techniques:Magnetic resonance imaging (MRI), quantitative MRI, diffusion MRI, high angular resolution diffusion MRI, T1/T2-weighted MRI, relaxometry, multidimensional MRI, combined diffusion imaging and relaxometry, voxel-level modelling, diffusion tensor imaging, diffusion kurtosis imaging, q-space trajectory imaging; (multi-tissue) spherical deconvolution, microstructural modelling, fiber tracking, fiber tractography, connectomics, image registration, image segmentation, voxel based analysis, voxel based morphometry, fixel based analysis, group studies, longitudinal studies, generalized linear models
  • Users of research expertise:Clinicians,Preclinicians,Neuroscientists,Psychologists,Radiologists