With the emergence of massive amounts of multi-source heterogeneous data on the Internet, quickly retrieving effective information from this extensive data has become a hot research topic. Due to the efficiency and speed of hash learning methods in multimedia retrieval, they have become a mainstream method for multimedia retrieval. However, unsupervised multimedia hash learning methods still face challenges with the difficulties of tuning due to the excessive number of hyperparameters and the lack of precise guidance on semantic similarity.
View Article and Find Full Text PDFBackground: In patients with hypertrophic cardiomyopathy (HCM), ischemic myocardial fibrosis assessed by late gadolinium enhancement (I-LGE) using cardiovascular magnetic resonance (CMR) have been reported. However, the clinical significance of I-LGE has not been completely understood. We aim to evaluate the I-LGE differ phenotypically from HCM without LGE or nonischemic myocardial fibrosis assessed by late gadolinium enhancement (NI-LGE) in the left ventricle (LV).
View Article and Find Full Text PDFBackground: The cardiac magnetic resonance tissue tracking (CMR-TT) technique was used to obtain left atrial strain and strain rate in patients with myocardial infarction (MI) and to evaluate the utility of this technique in the quantitative assessment of myocardial infarction for distinguishing acute from chronic myocardial infarction.
Methods: We retrospectively analyzed 36 consecutive patients with acute myocardial infarction (AMI) and 29 patients with chronic myocardial infarction (CMI) who underwent CMR and 30 controls. Left atrial (LA) and ventricular functions were quantified by volumetric, and CMR-TT derived strain analysis from long and short left ventricular view cines.