Voxel-wise compartmental modelling of blood-brain barrier water exchange measurements using FEXI
Elizabeth Powell1, Yolanda Ohene2,3, Marco Battiston4, Laura M Parkes2,3, and Geoff JM Parker5,6
1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom, 3Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom, 4NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 5Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 6Bioxydyn Limited, Manchester, United Kingdom
We propose compartmental modelling of blood-brain barrier (BBB) water exchange measurements using diffusion-filtered exchange imaging (FEXI), with the aim of providing greater biophysical insight into BBB function than is possible using the apparent exchange rate (AXR) approach. As relaxation time differences between blood and extravascular tissue have not yet been accounted for in FEXI-based BBB permeability measurements, we use simulations to quantify potential biases in exchange rates from both the AXR and compartmental approaches. Finally, we evaluate the repeatability of the AXR and compartmental models in a cohort of healthy subjects.
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