Deep learning-based image restoration algorithm for coronary CT angiography.

Fuminari TatsugamiToru HigakiYuko NakamuraZhou YuJian ZhouYujie LuChikako FujiokaToshiro KitagawaYasuki KiharaMakoto IidaKazuo Awai

Published in: European radiology (2019)

• Deep learning-based image restoration is a new technique that employs the deep convolutional neural network for image quality improvement. • Deep learning-based restoration reduces the image noise and improves image quality at coronary CT angiography. • This method may allow for a reduction in radiation exposure.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
image quality
machine learning
coronary artery
coronary artery disease
quality improvement
computed tomography
heart failure
left ventricular