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Abstract #3618

Multidimensional Diffusion MRI in the Ex Vivo Mouse Heart

Irvin Teh1, Samo Lasič2,3, Henrik Lundell3, Beata Wereszczyńska1, Matthew Budde4, Erica Dall'Armellina1, Nadira Yuldasheva1, Filip Szczepankiewicz5,6,7, and Jürgen E. Schneider1
1Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom, 2Random Walk Imaging, Lund, Sweden, 3Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark, 4Department of Neurosurgery, Neurobiology, and Anatomy, Medical College of Wisconsin, Milwaukee, WI, United States, 5Clinical Sciences, Lund University, Lund, Sweden, 6Harvard Medical School, Boston, MA, United States, 7Brigham and Women's Hospital, Boston, MA, United States

Multidimensional diffusion MRI, specifically, tensor-valued encoding is a promising technique for improving specificity in microstructural measurements in the myocardium beyond that achievable with DTI. Tensor-valued encoding data combining linear and spherical tensor encoding were acquired in ex vivo mouse hearts at 7T, including an isoproterenol-induced model of hypertrophy. Covariance and gamma fitting methods were employed to reconstruct parameter maps reflecting the isotropic and anisotropic components of the diffusion signal kurtosis. The results were consistent across both methods, and highlight the potential of multidimensional diffusion MRI for improving specificity in cardiac diffusion MRI.

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