Multi-channel deep learning model-based myocardial spatial-temporal morphology feature on cardiac MRI cine images diagnoses the cause of LVH.
Kaiyue DiaoHong-Qing LiangHong-Kun YinMing-Jing YuanMin GuPeng-Xin YuSen HeJiayu SunBin SongKang LiYong HePublished in: Insights into imaging (2023)
The combined model based on the mask of left ventricular segmented from multi-sequences cine MR images shows favorable and robust performance in diagnosing the cause of left ventricular hypertrophy, which could be served as a noninvasive tool and help clinical decision.
Keyphrases
- left ventricular
- deep learning
- convolutional neural network
- hypertrophic cardiomyopathy
- contrast enhanced
- artificial intelligence
- cardiac resynchronization therapy
- heart failure
- acute myocardial infarction
- aortic stenosis
- left atrial
- mitral valve
- machine learning
- magnetic resonance imaging
- acute coronary syndrome