[Validation of Optimal Imaging Conditions for Coronary Computed Tomography Angiography Using High-definition Mode and Deep Learning Image Reconstruction Algorithm].

Nobuo KiteraChikako FujiokaToru HigakiEiji NishimaruKazushi YokomachiYoriaki MatsumotoMasao KiguchiKazuya OhashiHarumasa KasaiKazuo Awai

Published in: Nihon Hoshasen Gijutsu Gakkai zasshi (2024)

The optimal combination of HD mode and DLIR depends on the image noise level, and the combination of NR mode and DLIR was the best imaging condition under noisy conditions.

Keyphrases

deep learning
high resolution
coronary artery
artificial intelligence
machine learning
convolutional neural network
air pollution
computed tomography
mass spectrometry
aortic valve
contrast enhanced
transcatheter aortic valve replacement
image quality