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A novel motion correction algorithm significantly improves the image quality and diagnostic accuracy of contrast-enhanced coronary CT angiography and fractional flow reserve simulation

    This single-center retrospective study enrolled 151 patients with suspected coronary artery disease who underwent contrast-enhanced coronary CT angiography (CCTA) and invasive coronary angiography within three months. Images were derived using a standard (STD) iterative reconstruction method and then processed via first-generation (SnapShot Freeze, SSF1) and second-generation (SnapShot Freeze 2, SSF2) motion correction algorithms to better reduce CCTA motion artifacts. Analysis of the three image groups – STD, SSF1, and SSF2 – revealed significantly better image quality and the best diagnostic accuracy for SSF2 over SSF1 (p<0.001), highlighting the superiority of SSF2 in detecting obstructive stenosis and ischemic lesions.