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Abstract #2441

Effects of b-value and SNR in preclinical cardiac diffusion spectrum imaging

Irvin Teh 1 , Dunja Aksentijevic 1,2 , and Jurgen E Schneider 1

1 Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom, 2 Cardiovascular 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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