Effects of b-value and SNR in preclinical cardiac diffusion spectrum imaging
Irvin Teh 1 , Dunja Aksentijevic 1,2 , and Jurgen E Schneider 1
Division of Cardiovascular Medicine,
Radcliffe Department of Medicine, University of Oxford,
Oxford, United Kingdom,
Division, The Rayne Institute, King's College London,
London, United Kingdom
Diffusion spectrum imaging (DSI) enables the measurement
of the diffusion probability density function in a
model-free manner. It provides access to a number of
parameters that may serve as sensitive markers in
cardiac disease such as ischemia and hypertrophy.
However, it has been shown in simulations and phantoms
that some of these parameters are highly sensitive to
the acquisition protocol. We investigated four
DSI-derived parameters for assessing myocardial
structure, including the mean squared length,
generalised fractional anisotropy, probability at zero
displacement and mean kurtosis and their sensitivity to
b-value and signal-to-noise ratio via prospective
sampling of multiple DSI datasets.
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