Deep learning-based motion correction algorithm for coronary CT angiography: Lowering the phase requirement for morphological and functional evaluation.

Xiaoling Yao,Sihua Zhong, Maolan Xu,Guozhi Zhang, Yuan Yuan,Tao Shuai,Zhenlin Li

Journal of applied clinical medical physics(2023)

Cited 1|Views16
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Abstract
The deep learning-based MCA allows up to 4% phase deviation in acquiring CCTA for reliable morphological and functional evaluation on patients with high HRs.
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Key words
coronary correction angiography,deep learning‐based
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