Predicting Late Gadolinium Enhancement of Acute Myocardial Infarction in Contrast-Free Cardiac Cine MRI Using Deep Generative Learning.
Haikun QiPengfang QianLanglang TangBing-Hua ChenDongaolei AnLian-Ming WuPublished in: Circulation. Cardiovascular imaging (2024)
CGE achieved superior image quality to LGE and accurate scar delineation in patients with acute MI of both internal and external data sets. CGE can significantly simplify the CMR examination, reducing scan times and risks associated with gadolinium-based contrasts, which are crucial for acute patients.
Keyphrases
- contrast enhanced
- image quality
- acute myocardial infarction
- computed tomography
- end stage renal disease
- magnetic resonance imaging
- magnetic resonance
- ejection fraction
- left ventricular
- chronic kidney disease
- liver failure
- prognostic factors
- peritoneal dialysis
- electronic health record
- coronary artery disease
- intensive care unit
- machine learning
- diffusion weighted imaging
- patient reported outcomes
- data analysis
- aortic dissection
- climate change