CT iterative vs deep learning reconstruction: comparison of noise and sharpness.

Chankue ParkKi Seok ChooYunsub JungHee Seok JeongJae-Yeon HwangMi Sook Yun

Published in: European radiology (2020)

• Deep learning image reconstruction "TrueFidelity" is superior to iterative reconstruction "ASIR-V" regarding image noise and sharpness. • The high-strength "TrueFidelity" approach generated the best image quality among the examined image reconstruction procedures. • In iterative and deep learning CT image reconstruction, the higher the blending and strength factors, the lower the image noise and the poorer the image sharpness.

Keyphrases

deep learning
image quality
artificial intelligence
dual energy
convolutional neural network
computed tomography
machine learning
air pollution
contrast enhanced
positron emission tomography
magnetic resonance