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Abstract #5022

Toolkit for capillary pseudo-diffusivity Monte Carlo simulations

Elizabeth Powell1, Geoff JM Parker1,2,3, and Marco Palombo4,5
1Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2Queen Square MS Centre, Institute of Neurology, University College London, London, United Kingdom, 3Bioxydyn Limited, Manchester, United Kingdom, 4Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom, 5School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom

Synopsis

Keywords: Diffusion/other diffusion imaging techniques, Simulations, Pseudo-diffusivityThe pseudo-diffusivity effect - arising from blood flow in capillaries - is used to characterise the diffusion-weighted MRI signal at low b-values (b<200 s/mm2) in several biophysical models. We propose here a generative model for producing vascular meshes with tunable properties - such as vessel segment radius and length, and vessel volume fraction – that are compatible with common Monte Carlo diffusion simulation frameworks. Monte Carlo simulations of pseudo-diffusivity are performed, under varying conditions, by adapting the Camino simulation toolkit to include a plug flow component to spin dynamics inside the vascular mesh; the resulting signals are validated against analytical solutions.

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