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Performance Improvement with Optimization Algorithm in Isolating Left Ventricle and Non-Left Ventricle Cardiac
Magnetic Resonance Imaging (MRI) typically shows the overall heart anatomy and usually includes the outmost slices of the left ventricle coverage. In...
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Left Ventricle Segmentation of 2D Echocardiography Using Deep Learning
To identify the heart-related issues the very first step used by clinicians in diagnosis is to correctly identify the clinical indices which are...
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Weakly/Semi-supervised Left Ventricle Segmentation in 2D Echocardiography with Uncertain Region-Aware Contrastive Learning
Segmentation of the left ventricle in 2D echocardiography is essential for cardiac function measures, such as ejection fraction. Fully-supervised...
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Deep Active Learning for Left Ventricle Segmentation in Echocardiography
The training of advanced deep learning algorithms for medical image interpretation requires precisely annotated datasets, which is laborious and...
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EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms
The functional assessment of the left ventricle chamber of the heart requires detecting four landmark locations and measuring the internal dimension...
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Blood Flow Simulation of Left Ventricle with Twisted Motion
To push out a blood flow to an aorta, a left ventricle repeats expansion and contraction motion. For more efficient pum** of the blood, it is known...
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Identification of the left ventricle endocardial border on two-dimensional ultrasound images using deep layer aggregation for residual dense networks
Ultrasound images are one of the most widely used medical images in clinical medicine. However, ultrasound images generally have the characteristics...
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Comparison of CNN Fusion Strategies for Left Ventricle Segmentation from Multi-modal MRI
Delayed enhancement magnetic resonance imaging (DE-MRI) is the gold standard to evaluate the state of the heart after myocardial infarction (MI). To...
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Modeling Contrast Perfusion and Adsorption Phenomena in the Human Left Ventricle
This work presents a mathematical model to describe perfusion dynamics in cardiac tissue. The new model extends a previous one and can reproduce...
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Automated Estimation of Motion Patterns of the Left Ventricle Supports Cardiomyopathy Identification
We propose a method to extract 3D shape and motion features of the left ventricle from 2D cine scans and investigate their utility in a...
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Study of CNN Capacity Applied to Left Ventricle Segmentation in Cardiac MRI
CNN (Convolutional Neural Network) models have been successfully used for segmentation of the left ventricle (LV) in cardiac MRI (Magnetic Resonance...
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Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography
We propose a new method to automatically contour the left ventricle on 2D echocardiographic images. Unlike most existing segmentation methods, which...
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Two-stage active contour model for robust left ventricle segmentation in cardiac MRI
Segmentation of the endocardial and epicardial boundaries on 3D cardiac magnetic resonance images plays a vital role in the assessment of ejection...
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Evaluation of Mechanical Unloading of a Patient-Specific Left Ventricle: A Numerical Comparison Study
In this study, we use a finite element model of left ventricular (LV) mechanics to evaluate the mechanical unloading of an end-diastolic (ED)...
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Full Motion Focus: Convolutional Module for Improved Left Ventricle Segmentation Over 4D MRI
Magnetic Resonance Imaging (MRI) is a widely known medical imaging technique used to assess the heart function. Over Cardiac MRI (CMR) images, Deep...
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Direct full quantification of the left ventricle via multitask regression and classification
Left ventricle (LV) quantitative indices, such as the areas of the cavity and myocardium, dimensions of the cavity, regional wall thickness, and...
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Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography
Echocardiography is one of the main imaging modalities used to assess the cardiovascular health of patients. Among the many analyses performed on...
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Transformer Based Feature Fusion for Left Ventricle Segmentation in 4D Flow MRI
Four-dimensional flow magnetic resonance imaging (4D Flow MRI) enables visualization of intra-cardiac blood flow and quantification of cardiac...
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The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images
Domain shift refers to the difference in the data distribution of two datasets, normally between the training set and the test set for machine...
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An adaptive neuro fuzzy methodology for the diagnosis of prenatal hypoplastic left heart syndrome from ultrasound images
Congenital heart defect (CHD) is one of the most serious congenital deformities in a fetus. About 31% to 55% of CHDs are the primary cause that leads...
