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Abstract #3119

Assessing non-Gaussian diffusion in cardiac tissue

Darryl McClymont1, Irvin Teh1, Hannah Whittington1, Vicente Grau2, and Jurgen Schneider1

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

Non-Gaussian diffusion MRI allows the quantification of diffusion signals that deviate from mono-exponential decay. In cardiac MRI, very little has been reported on non-Gaussian models. In this work, the diffusion tensor, stretched exponential, bi-exponential, and diffusion kurtosis models were fit to data from fixed rat hearts. Performance was measured using the Akaike Information Criterion (AIC). All models demonstrated the presence of non-Gaussian diffusion, particularly in the right ventricle. The bi-exponential model fit the data best and had the lowest AIC. Non-Gaussian diffusion was greater perpendicular, rather than parallel, to cardiac fibers, corresponding to greater restrictions to diffusion.

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