Method comparison for cardiac image registration of coronary computed tomography angiography and 3-D echocardiography.
Tim NordenfurAleksandar BabicIvana BulatovicAnders GieseckeElif GünyeliJonaz RipswedenEigil SamsetReidar WinterMatilda LarssonPublished in: Journal of medical imaging (Bellingham, Wash.) (2018)
Treatment decision for coronary artery disease (CAD) is based on both morphological and functional information. Image fusion of coronary computed tomography angiography (CCTA) and three-dimensional echocardiography (3DE) could combine morphology and function into a single image to facilitate diagnosis. Three semiautomatic feature-based methods for CCTA/3DE registration were implemented and applied on CAD patients. Methods were verified and compared using landmarks manually identified by a cardiologist. All methods were found feasible for CCTA/3DE fusion.
Keyphrases
- coronary artery disease
- deep learning
- coronary artery
- left ventricular
- cardiovascular events
- end stage renal disease
- percutaneous coronary intervention
- coronary artery bypass grafting
- computed tomography
- ejection fraction
- chronic kidney disease
- newly diagnosed
- aortic stenosis
- pulmonary hypertension
- prognostic factors
- machine learning
- peritoneal dialysis
- healthcare
- magnetic resonance imaging
- heart failure
- image quality
- type diabetes
- health information
- social media
- transcatheter aortic valve replacement
- clinical evaluation
- smoking cessation