Correcting motion artifacts in coronary computed tomography angiography images using a dual-zone cycle generative adversarial network

CONCLUSIONS: This study demonstrates that the dual-zone GAN has the excellent ability to correct motion artifacts in the coronary arteries and maintain the overall characteristics of CCTA clinical images.PMID:33935130 | DOI:10.3233/XST-210841

Source: Journal of X-Ray Science and Technology - May 3, 2021 Category: Radiology Authors: Fuquan Deng Yingting Zeng Yanbin Shi Huiying Wu Yu Wu Dong Liang Xin Liu Hairong Zheng Xiaochun Zhang Zhanli Hu Source Type: research