Keywords: Heart, CardiomyopathyCardiac magnetic resonance (CMR) imaging is the gold standard for non-invasive evaluation of cardiac structure and function. Conventional 2D segmented steady-state free precession cine imaging（Standrad-Cine）is widely used but the scanning time is long. Artificial intelligence-assisted compressed sensing（ACS）is a new technology that can reduce the scanning time and improve image quality. By comparing the image quality and left ventricular function (LVF) of CMR sequence based on Standrad-Cine and ACS-Cine, we found that the use of ACS-Cine can significantly reduce the scanning time while obtaining high-quality and accurate parameters images.
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