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Abstract #2019

Determination of Microvascular Parameters from Diffusion-Weighted Images

Robert J Loughnan1,2, Damien McHugh1,3, Hamied A Haroon1, Douglas Garratt2, Rishma Vidyasagar1,4, Hojjatollah Azadbakht1, Penny H Cristinacce1, Geoff JM Parker1,5, and Laura M Parkes1

1Centre for Imaging Sciences, Faculty of Medical and Human Sciences, The University of Manchester, Manchester, United Kingdom, 2School of Physics and Astronomy, The University of Manchester, Manchester, United Kingdom, 3CRUK & EPSRC Cancer Imaging Centre in Cambridge & Manchester, Manchester, United Kingdom, 4Melbourne Brain Centre, The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, 5Bioxydyn Limited, Manchester, United Kingdom

Diffusion imaging has been used to probe microstructure and to investigate perfusion via the IVIM model. However, the contribution of microvasculature structure to the diffusion signal has largely been overlooked. Presented here is a novel method for imaging blood velocity and capillary segment length using diffusion-weighted images. We apply a model for extracting perfusion parameters from diffusion-weighted images from 23 people with a range of diffusion times (∆=18, 35 and 55ms) and b-values (0-100s/mm2). Mean blood velocity was significantly slower (P<0.005) in white matter (0.92±0.03mm/s) compared to grey matter (0.95±0.04mm/s). Mean vessel segment length was significantly shorter (P<0.0001) in white matter (7.97±0.13µm) than in grey matter (10.35±0.20µm).

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