Coronary Angiography Upgraded by Imaging Post-Processing: Present and Future Directions.
Benoit CaulleryLaurent RiouGilles Barone-RochettePublished in: Diagnostics (Basel, Switzerland) (2023)
Advances in computer technology and image processing now allow us to obtain from angiographic images a large variety of information on coronary physiology without the use of a guide-wire as a diagnostic information equivalent to FFR and iFR but also information allowing for the performance of a real virtual percutaneous coronary intervention (PCI) and finally the ability to obtain information to optimize the results of PCI. With specific software, it is now possible to have a real upgrading of invasive coronary angiography. In this review, we present the different advances in this field and discuss the future perspectives offered by this technology.
Keyphrases
- percutaneous coronary intervention
- coronary artery disease
- deep learning
- acute myocardial infarction
- acute coronary syndrome
- st segment elevation myocardial infarction
- health information
- st elevation myocardial infarction
- antiplatelet therapy
- coronary artery bypass grafting
- atrial fibrillation
- high resolution
- coronary artery
- machine learning
- heart failure
- convolutional neural network
- aortic stenosis