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Abstract #0778

A ROI Focused Multi-Scale Super-Resolution Method for the Diffusion Tensor Cardiac Magnetic Resonance

Jin Zhu1, Guang Yang2,3, Pedro Ferreira2,3, Andrew Scott2,3, Sonia Nielles-Vallespin 2,3, Jennifer Keegan 2,3, Dudley Pennell2,3, Pietro Lio1, and David Firmin2,3

1Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom, 2National Heart and Lung Institute, Imperial College London, London, United Kingdom, 3Cardiovascular Research Centre, Royal Brompton Hospital, London, United Kingdom

Diffusion Tensor Cardiovascular Magnetic Resonance (DT-CMR) is a promising contrast-free and non-invasive technique to characterize the tissue integrity and microstructure of the myocardium. However, the complex acquisition protocol results in prolonged scan times and often results in images with low spatial resolution and relatively poor signal-to-noise ratio. Here a novel ROI focused multi-scale super-resolution approach is proposed to improve the apparent spatial resolution of in vivo DT-CMR. Based on simulation studies, our proposed method can achieve increases in apparent spatial resolution by a factor of 4 with preserved image quality and no obvious degradation in the derived DT-CMR parameters.

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