An AI Approach for Reducing Residual Motion and Noise from Myocardial Perfusion for Assessment of Coronary Artery Disease.
Mahmud HasanPublished in: Canadian Conference on AI (2021)
Keyphrases
- coronary artery disease
- myocardial perfusion
- clinical setting
- clinical practice
- coronary artery
- diagnostic process
- image sequences
- motion analysis
- cardiovascular disease
- motion model
- motion estimation
- nonrigid registration
- motion field
- computed tomography
- expert systems
- spect images
- motion tracking
- optical flow
- left ventricle
- clinical diagnosis
- model based diagnosis
- medical diagnosis
- medical images
- image analysis