AIMC Topic: Heart Ventricles
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Right ventricular strain and volume analyses through deep learning-based fully automatic segmentation based on radial long-axis reconstruction of short-axis cine magnetic resonance images.
Magma (New York, N.Y.)
May 18, 2022
OBJECTIVE: We propose a deep learning-based fully automatic right ventricle (RV) segmentation technique that targets radially reconstructed long-axis (RLA) images of the center of the RV region in routine short axis (SA) cardiovascular magnetic reson...
Explicit and automatic ejection fraction assessment on 2D cardiac ultrasound with a deep learning-based approach.
Computers in biology and medicine
May 17, 2022
BACKGROUND: Ejection fraction (EF) is a key parameter for assessing cardiovascular functions in cardiac ultrasound, but its manual assessment is time-consuming and subject to high inter and intra-observer variability. Deep learning-based methods have...
A Novel Framework With Weighted Decision Map Based on Convolutional Neural Network for Cardiac MR Segmentation.
IEEE journal of biomedical and health informatics
May 5, 2022
For diagnosing cardiovascular disease, an accurate segmentation method is needed. There are several unresolved issues in the complex field of cardiac magnetic resonance imaging, some of which have been partially addressed by using deep neural network...
Assessment of right ventricular size and function from cardiovascular magnetic resonance images using artificial intelligence.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Apr 11, 2022
BACKGROUND: Theoretically, artificial intelligence can provide an accurate automatic solution to measure right ventricular (RV) ejection fraction (RVEF) from cardiovascular magnetic resonance (CMR) images, despite the complex RV geometry. However, in...
Development of a Visualization Deep Learning Model for Classifying Origins of Ventricular Arrhythmias.
Circulation journal : official journal of the Japanese Circulation Society
Apr 7, 2022
BACKGROUND: Several algorithms have been proposed for differentiating the right and left outflow tracts (RVOT/LVOT) arrhythmia origins from 12-lead electrocardiograms (ECGs); however, the procedure is complicated. A deep learning (DL) model, a form o...
Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Apr 7, 2022
BACKGROUND: Right atrial (RA) area predicts mortality in patients with pulmonary hypertension, and is recommended by the European Society of Cardiology/European Respiratory Society pulmonary hypertension guidelines. The advent of deep learning may al...
The auto segmentation for cardiac structures using a dual-input deep learning network based on vision saliency and transformer.
Journal of applied clinical medical physics
Apr 1, 2022
PURPOSE: Accurate segmentation of cardiac structures on coronary CT angiography (CCTA) images is crucial for the morphological analysis, measurement, and functional evaluation. In this study, we achieve accurate automatic segmentation of cardiac stru...
A U-snake based deep learning network for right ventricle segmentation.
Medical physics
Mar 30, 2022
PURPOSE: Ventricular segmentation is of great importance for the heart condition monitoring. However, manual segmentation is time-consuming, cumbersome, and subjective. Many segmentation methods perform poorly due to the complex structure and uncerta...
MCAL: An Anatomical Knowledge Learning Model for Myocardial Segmentation in 2-D Echocardiography.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Mar 30, 2022
Segmentation of the left ventricular (LV) myocardium in 2-D echocardiography is essential for clinical decision making, especially in geometry measurement and index computation. However, segmenting the myocardium is a time-consuming process and chall...
Automatic Cardiac Structure Contouring for Small Datasets with Cascaded Deep Learning Models.
Journal of medical systems
Mar 25, 2022
Cardiac structure contouring is a time consuming and tedious manual activity used for radiotherapeutic dose toxicity planning. We developed an automatic cardiac structure segmentation pipeline for use in low-dose non-contrast planning CT based on dee...
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