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Fig. 6 | Journal of Cardiovascular Imaging

Fig. 6

From: Super-resolution deep learning image reconstruction: image quality and myocardial homogeneity in coronary computed tomography angiography

Fig. 6

A 72-year-old woman who underwent coronary computed tomography (CT) angiography. The coronary CT angiography images were reconstructed with filtered-back projection (FBP), hybrid iterative reconstruction (IR), deep learning image reconstruction (DLR), and super-resolution (SR) DLR. Curved multiplanar reformatted image are shown for each reconstruction method. SR-DLR provides clearer delineation of the aortic valve (red arrows) and the coronary artery with external calcified plaque (red dashed boxes), while allowing edge smoothness and a noise-free appearance compared to the other image reconstructions

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Journal of Cardiovascular Imaging

ISSN: 2586-7296

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