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Abstract #2034

Optimisation of diffusion encoding schemes for in vivo cardiac DTI

Irvin Teh1, Christopher Nguyen2, Christopher Kelly1, Erica Dall'Armellina1, Debiao Li3, Sven Plein1, and J├╝rgen E Schneider1,4

1University of Leeds, Leeds, United Kingdom, 2Massachusetts General Hospital, Harvard Medical School, Cardiovascular Research Center, Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, United States, 4Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom

Cardiac diffusion tensor imaging (CDTI) measurements are sensitive to a range of imaging parameters including the number of signal averages (NSA) and the number of unique diffusion-weighting directions (ND). However, there is no clear guidance on their specifications for clinical imaging. We evaluated the impact of ND and NSA on the accuracy and precision of the mean diffusivity, fractional anisotropy and helix angle in 10 healthy volunteers. Our findings support the need for standardisation of CDTI protocols to facilitate inter-study and inter-site comparison of data, and definition of clinically relevant thresholds for catalysing the clinical adoption of CDTI.

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