Abstract #0753

Voxel-wise compartmental modelling of blood-brain barrier water exchange measurements using FEXI

Elizabeth Powell¹, Yolanda Ohene^2,3, Marco Battiston⁴, Laura M Parkes^2,3, and Geoff JM Parker^5,6

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

Synopsis

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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.