Influence of Heart Rate and Innovative Motion-Correction Algorithm on Coronary Artery Image Quality and Measurement Accuracy Using 256-Detector Row Computed Tomography Scanner: Phantom Study.
Jeong Bin ParkYeon Joo JeongGeewon LeeNam Kyung LeeJin You KimJi Won LeePublished in: Korean journal of radiology (2018)
Motion-correction algorithm can improve the coronary artery image quality and measurement accuracy at a high HR using an anthropomorphic dynamic heart phantom and 256-detector row CT scanner.
Keyphrases
- image quality
- coronary artery
- heart rate
- computed tomography
- dual energy
- pulmonary artery
- heart rate variability
- blood pressure
- machine learning
- deep learning
- positron emission tomography
- heart failure
- magnetic resonance imaging
- neural network
- contrast enhanced
- pulmonary arterial hypertension
- magnetic resonance
- mass spectrometry
- high resolution
- pet ct