Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative Reconstruction.

Jung Hee Hong Eun Ah Park Whal Lee Chulkyun Ahn Jong Hyo Kim

Published in: Korean journal of radiology (2020)

Application of the deep learning technique along with iterative reconstruction can enhance the noise reduction performance with a significant improvement in objective and subjective image qualities of CCTA images.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
image quality
air pollution
machine learning
coronary artery disease
coronary artery
computed tomography
sleep quality
heart failure
depressive symptoms
left ventricular