Deep learning-based and hybrid-type iterative reconstructions for CT: comparison of capability for quantitative and qualitative image quality improvements and small vessel evaluation at dynamic CE-abdominal CT with ultra-high and standard resolutions.

Ryo MatsukiyoYoshiharu OhnoTakahiro MatsuyamaHiroyuki NagataHirona KimataYuya ItoYukihiro OgawaKazuhiro MurayamaRyoichi KatoHiroshi Toyama

Published in: Japanese journal of radiology (2020)

DLR has a higher potential to improve the image quality resulting in a more accurate evaluation for vascular structures than hybrid IR for both UHR-CT and ADCT.

Keyphrases

image quality
computed tomography
dual energy
high resolution
deep learning
systematic review
climate change
risk assessment
convolutional neural network
human health
pet ct