Current and Future Post-Processing and Reconstruction Methods for Improved Image Quality in Coronary Computed Tomographic Angiography

Abstract

While coronary computed tomographic angiography (CCTA) has high diagnostic performance to identify and exclude obstructive coronary artery disease, it is susceptible to false-positive results and non-interpretable studies, and requires the use of ionizing radiation. New methods of image reconstruction and post-processing have the potential to significantly improve image quality, reduce the number of non-interpretable studies, and improve the diagnostic accuracy of CCTA. In this manuscript, we will review current and novel technologies for image reconstruction and post-processing that may improve the image quality of CCTA.