Comparison of quantitative image quality of cardiac computed tomography between raw-data-based and model-based iterative reconstruction algorithms with an emphasis on image sharpness.
Ki Baek LeeHyun Woo GooPublished in: Pediatric radiology (2020)
Compared with the raw-data-based algorithm, the model-based iterative reconstruction algorithm demonstrated better image sharpness and higher image noise on cardiac CT in patients with congenital heart disease.
Keyphrases
- image quality
- deep learning
- computed tomography
- dual energy
- machine learning
- end stage renal disease
- big data
- artificial intelligence
- electronic health record
- left ventricular
- chronic kidney disease
- positron emission tomography
- ejection fraction
- newly diagnosed
- magnetic resonance imaging
- air pollution
- high resolution
- patient reported outcomes
- atrial fibrillation
- prognostic factors
- contrast enhanced
- magnetic resonance
- data analysis