AIMC Topic: Ventricular Function, Right
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Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram.
JACC. Cardiovascular imaging
Oct 13, 2021
OBJECTIVES: This study sought to develop DL models capable of comprehensively quantifying left and right ventricular dysfunction from ECG data in a large, diverse population.
Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Mar 11, 2021
BACKGROUND: Cardiovascular magnetic resonance (CMR) cine displacement encoding with stimulated echoes (DENSE) measures heart motion by encoding myocardial displacement into the signal phase, facilitating high accuracy and reproducibility of global an...
Evaluation of acute pulmonary embolism and clot burden on CTPA with deep learning.
European radiology
Feb 16, 2020
OBJECTIVES: To take advantage of the deep learning algorithms to detect and calculate clot burden of acute pulmonary embolism (APE) on computed tomographic pulmonary angiography (CTPA).
Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function.
JACC. Cardiovascular imaging
Jul 17, 2019
OBJECTIVES: This study sought to develop a fully automated framework for cardiac function analysis from cardiac magnetic resonance (CMR), including comprehensive quality control (QC) algorithms to detect erroneous output.
Quality Control
Heart Diseases
Image Interpretation, Computer-Assisted
Quality Indicators, Health Care
Automation
Magnetic Resonance Imaging, Cine
Ventricular Function, Right
Middle Aged
Diagnosis, Computer-Assisted
Deep Learning
Predictive Value of Tests
Aged
Male
Ventricular Function, Left
Stroke Volume
Humans
Female
Reproducibility of Results
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...
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Sep 14, 2018
BACKGROUND: Cardiovascular resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber volume, ejection fraction ...
Middle Aged
Deep Learning
Predictive Value of Tests
Heart Diseases
Image Interpretation, Computer-Assisted
Observer Variation
Automation
Magnetic Resonance Imaging, Cine
Aged
Male
Ventricular Function, Left
Humans
Stroke Volume
Neural Networks, Computer
Ventricular Function, Right
Databases, Factual
Myocardial Contraction
Female
Reproducibility of Results
ν-net: Deep Learning for Generalized Biventricular Mass and Function Parameters Using Multicenter Cardiac MRI Data.
JACC. Cardiovascular imaging
Jan 17, 2018
Evaluation of knowledge-based reconstruction for magnetic resonance volumetry of the right ventricle after arterial switch operation for dextro-transposition of the great arteries.
The international journal of cardiovascular imaging
Jun 2, 2016
Right ventricular (RV) volume and function evaluation is essential in the follow-up of patients after arterial switch operation (ASO) for dextro-transposition of the great arteries (d-TGA). Cardiac magnetic resonance (CMR) imaging using the Simpson's...
Hypertrophy, Right Ventricular
Ventricular Function, Right
Treatment Outcome
Observer Variation
Predictive Value of Tests
Male
Transposition of Great Vessels
Ventricular Dysfunction, Right
Anatomic Landmarks
Humans
Adolescent
Magnetic Resonance Imaging, Cine
Heart Ventricles
Feasibility Studies
Arterial Switch Operation
Retrospective Studies
Time Factors
Knowledge Bases
Female
Ontario
Image Interpretation, Computer-Assisted
Reproducibility of Results
In the right direction: A deep learning tool for assessment of right ventricular function.
Echocardiography (Mount Kisco, N.Y.)
May 1, 2024
Deep learning to assess right ventricular ejection fraction from two-dimensional echocardiograms in precapillary pulmonary hypertension.
Echocardiography (Mount Kisco, N.Y.)
Apr 1, 2024
BACKGROUND: Precapillary pulmonary hypertension (PH) is characterized by a sustained increase in right ventricular (RV) afterload, impairing systolic function. Two-dimensional (2D) echocardiography is the most performed cardiac imaging tool to assess...
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