Meeting Banner
Abstract #4420

Characterisation of microvascular blood velocity, exchange and structure using multi-diffusion time DWI

Lauren Scott1, Ben Dickie1, Damien McHugh2, John McFadden1, Andrew N Priest3, and Laura M Parkes1
1Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom, 2Quantitative Biomedical Imaging Laboratory, University of Manchester, Manchester, United Kingdom, 3Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom

Diffusion-time (∆) dependence in the bi-exponential intra-voxel incoherent motion model of diffusion-weighted imaging (DWI) signal decay is generally not considered. However, by using multi-∆ signal acquisitions, blood flow dynamics across different flow regimes can be accessed. In this study, we use multi-∆ DWI and an adapted velocity autocorrelation model to estimate blood velocity (v), capillary segment length (l) and transvascular water exchange. Human cerebral cortex and white matter (WM) estimates of v (cortex: 1.85 ± 0.21 mms-1; WM: 2.67 ± 1.01 mms-1) and l (cortex: 43.4 ± 19.5 µm; WM: 93.3 ± 51.1 µm) are consistent with literature values.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here