AIMC Topic: Echocardiography, Three-Dimensional

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Mitral Annulus Segmentation Using Deep Learning in 3-D Transesophageal Echocardiography.

IEEE journal of biomedical and health informatics Dec 12, 2019
3D Transesophageal Echocardiography is an excellent tool for evaluating the mitral valve and is also well suited for guiding cardiac interventions. We introduce a fully automatic method for mitral annulus segmentation in 3D Transesophageal Echocardio...
Deep Learning Mitral Valve Echocardiography, Transesophageal Echocardiography, Three-Dimensional Humans Algorithms Databases, Factual
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Machine Learning-Based Three-Dimensional Echocardiographic Quantification of Right Ventricular Size and Function: Validation Against Cardiac Magnetic Resonance.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Jun 4, 2019
BACKGROUND: Three-dimensional echocardiography (3DE) allows accurate and reproducible measurements of right ventricular (RV) size and function. However, widespread implementation of 3DE in routine clinical practice is limited because the existing sof...
Humans Machine Learning Middle Aged Heart Ventricles Image Interpretation, Computer-Assisted Female Reproducibility of Results Male Echocardiography, Three-Dimensional Magnetic Resonance Imaging, Cine Ventricular Function, Right
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Automated, machine learning-based, 3D echocardiographic quantification of left ventricular mass.

Echocardiography (Mount Kisco, N.Y.) Dec 28, 2018
BACKGROUND: Although 3D echocardiography (3DE) circumvents many limitations of 2D echocardiography by allowing direct measurements of left ventricular (LV) mass, it is seldom used in clinical practice due to time-consuming analysis. A recently develo...
Automation Echocardiography, Three-Dimensional Organ Size Heart Ventricles Image Interpretation, Computer-Assisted Algorithms Prospective Studies Female Reproducibility of Results Male Middle Aged Humans Machine Learning
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An Intracardiac Soft Robotic Device for Augmentation of Blood Ejection from the Failing Right Ventricle.

Annals of biomedical engineering May 16, 2017
We introduce an implantable intracardiac soft robotic right ventricular ejection device (RVED) for dynamic approximation of the right ventricular (RV) free wall and the interventricular septum (IVS) in synchrony with the cardiac cycle to augment bloo...
Humans Female Animals Stroke Volume Swine Echocardiography, Three-Dimensional Disease Models, Animal Robotics Heart Failure
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Using Anatomic Intelligence to Localize Mitral Valve Prolapse on Three-Dimensional Echocardiography.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Aug 18, 2016
BACKGROUND: Accurate localization of mitral valve prolapse (MVP) is crucial for surgical planning. Despite improved visualization of the mitral valve by three-dimensional transesophageal echocardiography, image interpretation remains expertise depend...
Male Echocardiography, Three-Dimensional Middle Aged Pattern Recognition, Automated Image Interpretation, Computer-Assisted Female Humans Image Enhancement Reproducibility of Results Machine Learning Mitral Valve Prolapse Sensitivity and Specificity Algorithms
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Identification of Mitral Annulus Hinge Point Based on Local Context Feature and Additive SVM Classifier.

Computational and mathematical methods in medicine May 18, 2015
The position of the hinge point of mitral annulus (MA) is important for segmentation, modeling and multimodalities registration of cardiac structures. The main difficulties in identifying the hinge point of MA are the inherent noisy, low resolution o...
Humans Heart Valve Diseases Computational Biology Heart Defects, Congenital Support Vector Machine Algorithms Echocardiography, Three-Dimensional Mitral Valve Child
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Reply: Can Deep Learning Improve 2D Echocardiographic RV Assessment?: First Important Steps.

JACC. Cardiovascular imaging Dec 1, 2023
Echocardiography, Three-Dimensional Ventricular Function, Right Deep Learning Predictive Value of Tests Ventricular Dysfunction, Right Humans Echocardiography
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Can Deep Learning Improve 2D Echocardiographic RV Assessment?: First Important Steps.

JACC. Cardiovascular imaging Dec 1, 2023
Humans Ventricular Dysfunction, Right Echocardiography, Three-Dimensional Ventricular Function, Right Echocardiography Deep Learning Predictive Value of Tests
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Machine learning based automated dynamic quantification of left heart chamber volumes.

European heart journal. Cardiovascular Imaging May 1, 2019
AIMS: Studies have demonstrated the ability of a new automated algorithm for volumetric analysis of 3D echocardiographic (3DE) datasets to provide accurate and reproducible measurements of left ventricular and left atrial (LV, LA) volumes at end-syst...
Echocardiography, Three-Dimensional Heart Ventricles Heart Atria Image Interpretation, Computer-Assisted Machine Learning Female Reproducibility of Results Male Middle Aged Magnetic Resonance Imaging Humans
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Artificial intelligence in mitral valve analysis.

Annals of cardiac anaesthesia Jan 1, 2017
BACKGROUND: Echocardiographic analysis of mitral valve (MV) has become essential for diagnosis and management of patients with MV disease. Currently, the various software used for MV analysis require manual input and are prone to interobserver variab...
Echocardiography, Three-Dimensional Mitral Valve Humans Coronary Artery Bypass Echocardiography, Transesophageal Artificial Intelligence Retrospective Studies Reproducibility of Results Image Processing, Computer-Assisted
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