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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