In high-resolution dual inversion recovery myocardial T2-weighted black-blood (T2W-BB) imaging, using very high acceleration factors with very high resolution can result in degradation of image quality due to insufficient noise removal. In this study, we applied the Compressed-SENSE Artificial Intelligence (CS-AI) framework to further increase the spatial resolution and reduce the scan time. The purpose of this study was to acquire high-resolution myocardial T2W-BB with reduced scan time and compare the image quality between images reconstructed with CS-AI and conventional C-SENSE.
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