Value of virtual monochromatic spectral image of dual-layer spectral detector CT with noise reduction algorithm for image quality improvement in obese simulated body phantom.
Hyo-Jin KangJeong Min LeeSang Min LeeHyun Kyung YangRi Hyeon KimJu Gang NamAruna KarnawatJoon Koo HanPublished in: BMC medical imaging (2019)
VMI of dual-layer spectral detector CT with noise reduction algorithm provides improved CNR, noise reduction, and better subjective image quality in imaging of obese simulated liver phantom compared with polychromatic images. This may hold promise for improving detection of liver lesions and improved imaging of obese patients.
Keyphrases
- image quality
- dual energy
- obese patients
- deep learning
- computed tomography
- bariatric surgery
- optical coherence tomography
- air pollution
- weight loss
- gastric bypass
- quality improvement
- roux en y gastric bypass
- high resolution
- machine learning
- adipose tissue
- convolutional neural network
- metabolic syndrome
- artificial intelligence
- type diabetes
- positron emission tomography
- contrast enhanced
- loop mediated isothermal amplification
- patient safety
- physical activity
- quantum dots
- neural network
- mass spectrometry
- fluorescence imaging