Longitudinal reproducibility of attenuation measurements on virtual unenhanced images: multivendor dual-energy CT evaluation.
Simon LennartzAnushri ParakhJinjin CaoAvinash R KambadakonePublished in: European radiology (2021)
• We found that 94.9% of attenuation measurements on virtual unenhanced images were reproducible for rapid kV switching DECT, 93.8% for dual-layer detector DECT, and 90.6% for dual-source DECT. • Inter-scan variation of attenuation in virtual unenhanced images was comparable between the three scanner types in the liver and fat, whereas inter-scan variation in the spleen, kidneys, portal vein, and aorta showed significant differences between scanner types (p < 0.05). • Inter-scan attenuation differences in contrast-enhanced images significantly influenced inter-scan differences in virtual unenhanced attenuation (p < 0.001, t-ratio: 4.34), suggesting a residual impact of contrast enhancement differences between examinations.
Keyphrases
- dual energy
- image quality
- contrast enhanced
- computed tomography
- deep learning
- convolutional neural network
- magnetic resonance imaging
- diffusion weighted
- optical coherence tomography
- magnetic resonance
- positron emission tomography
- diffusion weighted imaging
- adipose tissue
- pulmonary hypertension
- aortic valve
- coronary artery
- pulmonary artery
- machine learning
- cross sectional