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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