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Abstract #3960

In vivo cardiac diffusion tensor imaging: Selecting a b-value and acquiring the reference data

Andrew David Scott 1 , Pedro Ferreira 1,2 , Sonia Nielles-Vallespin 1,3 , Laura-Ann McGill 1,2 , Philip Kilner 1,2 , Dudley Pennell 1,2 , and David Firmin 1,2

1 NIHR Funded Biomedical Research Unit, The Royal Brompton Hospital, London, London, United Kingdom, 2 National Heart and Lung Institute, Imperial College London, London, United Kingdom, 3 National Heart, Lung and Blood Institute, National Institute of Health, Bethesda, Maryland, United Kingdom

We investigate how the diffusion weighting (b-value) of the main and reference data affects cardiac diffusion tensor imaging. Helical angle, mean diffusivity and fractional anisotropy maps were obtained from data acquired with 21 combinations of b-values and three ways of calculating the reference images in 10 subjects. Using a monopolar stimulated echo sequence with a single shot EPI readout, we show that these parameter maps are improved by using more diffusion weighting than is typically used in-vivo and that the microvascular perfusion component of the measured diffusion can be attenuated by applying diffusion weighting to the reference images.

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