Evaluation of the impact of a novel denoising algorithm on image quality in dual-energy abdominal CT of obese patients.
Fides R SchwartzDarin P ClarkFrancesca RigiroliKevin KaliszBenjamin Wildman-TobrinerSarah ThomasJoshua M WilsonCristian T BadeaDaniele MarinPublished in: European radiology (2023)
• Improving image quality in DECT imaging of obese patients is important for accurate and confident clinical reads, which may be aided by novel denoising algorithms using image domain data. • Accurate diagnosis on CT imaging of obese patients is especially challenging and denoising algorithms can increase quantitative and qualitative image quality. • Image domain algorithms can generalize well and can be implemented at other institutions.
Keyphrases
- obese patients
- image quality
- deep learning
- dual energy
- convolutional neural network
- high resolution
- machine learning
- bariatric surgery
- computed tomography
- gastric bypass
- roux en y gastric bypass
- artificial intelligence
- weight loss
- big data
- contrast enhanced
- electronic health record
- systematic review
- mass spectrometry
- magnetic resonance imaging
- photodynamic therapy