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Abstract #2773

Cell size, intracellular volume fraction and membrane permeability weighted imaging: a Monte Carlo study

Damien J McHugh 1,2 , Penny L Hubbard Cristinacce 1,2 , Josephine H Naish 1,2 , and Geoff J M Parker 1,2

1 Centre for Imaging Sciences, The University of Manchester, Manchester, United Kingdom, 2 Biomedical Imaging Institute, The University of Manchester, Manchester, United Kingdom

This work explores the idea that diffusion-weighted signals acquired with different sequence parameters differ in their sensitivity to various changes in microstructural tissue properties. Monte Carlo simulations were used to investigate how sensitivity to changes in cell size, R , volume fraction, f i , and permeability, lower case Greek kappa , varies with gradient strength, G , and separation, Capital Greek Delta . Sensitivity was found to depend on specific tissue properties and sequence parameters. For the parameters investigated, mean sensitivity to R , f i and lower case Greek kappa was maximised using G ≈80 mT/m and Capital Greek Delta ≈40 ms, G ≈30 mT/m and Capital Greek Delta ≈100 ms, and G ≈50 mT/m and Capital Greek Delta ≈110 ms, respectively.

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