AIMC Topic: Heart Ventricles

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The effect of geographical indices on left ventricular structure in healthy Han Chinese population.

International journal of biometeorology Jul 28, 2016
The left ventricular posterior wall thickness (LVPWT) and interventricular septum thickness (IVST) are generally regarded as the functional parts of the left ventricular (LV) structure. This paper aims to examine the effects of geographical indices o...
Middle Aged China Adolescent Heart Ventricles Aged, 80 and over Young Adult Adult Male Climate Asian People Weather Reference Values Healthy Volunteers Humans Neural Networks, Computer Female Aged
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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...
Magnetic Resonance Imaging, Cine Arterial Switch Operation Hypertrophy, Right Ventricular Ventricular Function, Right Knowledge Bases Image Interpretation, Computer-Assisted Observer Variation Transposition of Great Vessels Anatomic Landmarks Feasibility Studies Ventricular Dysfunction, Right Heart Ventricles Humans Female Retrospective Studies Time Factors Reproducibility of Results Ontario Male Treatment Outcome Adolescent Predictive Value of Tests
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Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance.

Medical image analysis May 26, 2016
We introduce a new methodology that combines deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance (MR) data. This combination is relevant for segmentation problems, where t...
Humans Pattern Recognition, Automated Machine Learning Magnetic Resonance Imaging, Cine Reproducibility of Results Image Processing, Computer-Assisted Heart Ventricles
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A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI.

Medical image analysis Feb 6, 2016
Segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI) datasets is an essential step for calculation of clinical indices such as ventricular volume and ejection fraction. In this work, we employ deep learning algorithms...
Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Models, Cardiovascular Subtraction Technique Magnetic Resonance Imaging, Cine Computer Simulation Reproducibility of Results Sensitivity and Specificity Heart Ventricles Humans Machine Learning Algorithms
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An autopsy case of cardiac tamponade caused by a ruptured ventricular aneurysm associated with acute myocarditis.

Legal medicine (Tokyo, Japan) Dec 8, 2015
We report an autopsy case of hemopericardium caused by rupture of a ventricular aneurysm associated with acute myocarditis in an infant boy aged 2 years and 10 months. Three days before his death, the patient developed fever. On the day of death, he ...
Rupture, Spontaneous Aneurysm, Ruptured Cardiac Tamponade Humans Male Myocarditis Child, Preschool Heart Ventricles Autopsy Immunohistochemistry
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Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation.

Medical image analysis Jul 26, 2015
Direct estimation of cardiac ventricular volumes has become increasingly popular and important in cardiac function analysis due to its effectiveness and efficiency by avoiding an intermediate segmentation step. However, existing methods rely on eithe...
Ventricular Dysfunction Machine Learning Algorithms Reproducibility of Results Heart Ventricles Stroke Volume Sensitivity and Specificity Humans Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Neural Networks, Computer Pattern Recognition, Automated Regression Analysis Image Enhancement Organ Size
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Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree-Based Dimensionality Reduction.

Journal of the American Heart Association Jul 1, 2025
BACKGROUND: Abnormal ventricular depolarization, evident as a broad QRS complex on an ECG, is traditionally categorized into left bundle-branch block (LBBB) and right bundle-branch block or nonspecific intraventricular conduction delay. This categori...
Humans Phenotype Female Aged Unsupervised Machine Learning Heart Ventricles Bundle-Branch Block Male Dimensionality Reduction Middle Aged Electrocardiography Action Potentials
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Boundary-Enhanced $U^{2}$-Net for Simultaneous Four-Chamber Segmentation in Transthoracic Echocardiography.

IEEE journal of biomedical and health informatics Jun 1, 2025
The heart, responsible for circulating blood throughout our body, contains four chambers. Existing analysis methods primarily focus on one single ventricle. Transthoracic echocardiography provides real-time estimations of cardiac function and enables...
Humans Neural Networks, Computer Algorithms Echocardiography Heart Ventricles Image Interpretation, Computer-Assisted
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Risk Stratification of Left Ventricle Hypertrabeculation Versus Non-Compaction Cardiomyopathy Using Echocardiography, Magnetic Resonance Imaging, and Cardiac Computed Tomography.

Echocardiography (Mount Kisco, N.Y.) May 1, 2025
Non-compaction cardiomyopathy (NCCM) is a rare, congenital form of cardiomyopathy characterized by excessive trabeculations in the left ventricle myocardium. NCCM is often an underdiagnosed heart condition characterized by abnormal myocardial trabecu...
Heart Ventricles Humans Cardiomyopathies Tomography, X-Ray Computed Echocardiography Risk Assessment Magnetic Resonance Imaging
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Free-breathing, Highly Accelerated, Single-beat, Multisection Cardiac Cine MRI with Generative Artificial Intelligence.

Radiology. Cardiothoracic imaging Apr 1, 2025
Purpose To develop and evaluate a free-breathing, highly accelerated, multisection, single-beat cine sequence for cardiac MRI. Materials and Methods This prospective study, conducted from July 2022 to December 2023, included participants with various...
Humans Artificial Intelligence Prospective Studies Heart Heart Ventricles Heart Diseases Image Interpretation, Computer-Assisted Male Respiration Female Middle Aged Magnetic Resonance Imaging, Cine Reproducibility of Results Deep Learning Aged Generative Artificial Intelligence Adult
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