Unsupervised Myocardial Segmentation for Cardiac BOLD
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2017.2726112
Abstract: A fully automated 2-D+time myocardial segmentation framework is proposed for cardiac magnetic resonance (CMR) blood-oxygen-level-dependent (BOLD) data sets. Ischemia detection with CINE BOLD CMR relies on spatio-temporal patterns in myocardial intensity, but these patterns also… read more here.
Keywords: segmentation cardiac; segmentation; method; unsupervised myocardial ... See more keywords
Left Ventricular Myocardial Segmentation in 3-D Ultrasound Recordings: Effect of Different Endocardial and Epicardial Coupling Strategies
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control"
DOI: 10.1109/tuffc.2016.2638080
Abstract: Cardiac volume/function assessment remains a critical step in daily cardiology, and 3-D ultrasound plays an increasingly important role. Though development of automatic endocardial segmentation methods has received much attention, the same cannot be said about… read more here.
Keywords: coupling strategies; segmentation; endocardial epicardial; ventricular myocardial ... See more keywords
Myocardial Segmentation of Tagged Magnetic Resonance Images with Transfer Learning Using Generative Cine-To-Tagged Dataset Transformation
Sign Up to like & getrecommendations! Published in 2023 at "Bioengineering"
DOI: 10.3390/bioengineering10020166
Abstract: The use of deep learning (DL) segmentation in cardiac MRI has the potential to streamline the radiology workflow, particularly for the measurement of myocardial strain. Recent efforts in DL motion tracking models have drastically reduced… read more here.
Keywords: cine tagged; cine images; myocardial segmentation; cine ... See more keywords