Myocardial strain imaging by MRI showed to be an early marker of changes in regional cardiac function before global cardiac function is affected. However, conventional MRI tagging techniques has the limitations of limited spatial resolution and complicated post-processing. Strain-encoding (SENC) showed to be a valuable technique for quantifying myocardial strain with high spatial resolution and simple post-processing. In this study, we provide preliminary results of echo-planar imaging (EPI)-based fast SENC imaging along with imaging artifacts and approaches to minimize their effects. The results showed the feasibility of EPI-based SENC with improved image quality and ultrafast acquisition.
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