Cardiac SMS imaging acquires multiple slices at the same time as a single slice. SMS provides increased slice coverage without a loss in temporal resolution, which is important in myocardial perfusion imaging. However, a single SMS acquisition is able to acquire three slices at a time, which is insufficient for whole heart coverage. This work expands SMS coverage by using new deep learning interpolation techniques to generate missing slices in the "gaps" between acquired slices in SMS imaging.
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