AIMC Topic: Magnetic Resonance Imaging, Cine

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Machine learning and radiomics for ventricular tachyarrhythmia prediction in hypertrophic cardiomyopathy: insights from an MRI-based analysis.

Acta radiologica (Stockholm, Sweden : 1987) Oct 1, 2024
BACKGROUND: Myocardial fibrosis is often detected in patients with hypertrophic cardiomyopathy (HCM), which causes left ventricular (LV) dysfunction and tachyarrhythmias.
Humans Machine Learning Retrospective Studies Female Magnetic Resonance Imaging Predictive Value of Tests Cardiomyopathy, Hypertrophic Adult Tachycardia, Ventricular Radiomics Magnetic Resonance Imaging, Cine Male Middle Aged Contrast Media
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Deep Learning Virtual Contrast-Enhanced T1 Mapping for Contrast-Free Myocardial Extracellular Volume Assessment.

Journal of the American Heart Association Sep 30, 2024
BACKGROUND: The acquisition of contrast-enhanced T1 maps to calculate extracellular volume (ECV) requires contrast agent administration and is time consuming. This study investigates generative adversarial networks for contrast-free, virtual extracel...
Humans Middle Aged Deep Learning Contrast Media Predictive Value of Tests Myocardium Retrospective Studies Female Aged Adult Male Myocarditis Image Interpretation, Computer-Assisted Amyloidosis Magnetic Resonance Imaging, Cine
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Dynamic MRI interpolation in temporal direction using an unsupervised generative model.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 22, 2024
PURPOSE: Cardiac cine magnetic resonance imaging (MRI) is an important tool in assessing dynamic heart function. However, this technique requires long acquisition time and long breath holds, which presents difficulties. The aim of this study is to pr...
Magnetic Resonance Imaging, Cine Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Unsupervised Machine Learning Heart
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Automated biventricular quantification in patients with repaired tetralogy of Fallot using a three-dimensional deep learning segmentation model.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 11, 2024
BACKGROUND: Deep learning is the state-of-the-art approach for automated segmentation of the left ventricle (LV) and right ventricle (RV) in cardiovascular magnetic resonance (CMR) images. However, these models have been mostly trained and validated ...
Tetralogy of Fallot Magnetic Resonance Imaging, Cine Ventricular Function, Right Deep Learning Adolescent Child Imaging, Three-Dimensional Treatment Outcome Reproducibility of Results Predictive Value of Tests Humans Young Adult Cardiac Surgical Procedures Databases, Factual Adult Heart Ventricles Retrospective Studies Male Image Interpretation, Computer-Assisted Female Ventricular Function, Left Automation
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Predicting Late Gadolinium Enhancement of Acute Myocardial Infarction in Contrast-Free Cardiac Cine MRI Using Deep Generative Learning.

Circulation. Cardiovascular imaging Sep 10, 2024
BACKGROUND: Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) is a standard technique for diagnosing myocardial infarction (MI), which, however, poses risks due to gadolinium contrast usage. Techniques enabling MI assessment based on...
Magnetic Resonance Imaging, Cine Predictive Value of Tests Myocardium Myocardial Infarction Image Interpretation, Computer-Assisted Gadolinium Humans Retrospective Studies Female Reproducibility of Results Aged Male Middle Aged Deep Learning Contrast Media
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Accelerated chemical shift encoded cardiovascular magnetic resonance imaging with use of a resolution enhancement network.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 5, 2024
BACKGROUND: Cardiovascular magnetic resonance (CMR) chemical shift encoding (CSE) enables myocardial fat imaging. We sought to develop a deep learning network (fast chemical shift encoding [FastCSE]) to accelerate CSE.
Adiposity Magnetic Resonance Imaging, Cine Retrospective Studies Female Adipose Tissue Humans Reproducibility of Results Adult Predictive Value of Tests Prospective Studies Aged Male Myocardium Young Adult Middle Aged Heart Diseases Case-Control Studies Image Interpretation, Computer-Assisted Deep Learning
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Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images.

Medical & biological engineering & computing Aug 6, 2024
This work proposes a convolutional neural network (CNN) that utilizes different combinations of parametric images computed from cine cardiac magnetic resonance (CMR) images, to classify each slice for possible myocardial scar tissue presence. The CNN...
ROC Curve Cicatrix Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Female Aged Male Middle Aged Deep Learning Humans Neural Networks, Computer
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Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 28, 2024
BACKGROUND: Cardiovascular magnetic resonance (CMR) cine imaging is still limited by long acquisition times. This study evaluated the clinical utility of an accelerated two-dimensional (2D) cine sequence with deep learning reconstruction (Sonic DL) t...
Stroke Volume Middle Aged Deep Learning Time Factors Predictive Value of Tests Heart Ventricles Image Interpretation, Computer-Assisted Observer Variation Magnetic Resonance Imaging, Cine Ventricular Function, Right Reproducibility of Results Aged Adult Male Ventricular Function, Left Humans Prospective Studies Female
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Accelerated cardiac magnetic resonance imaging using deep learning for volumetric assessment in children.

Pediatric radiology Jul 17, 2024
BACKGROUND: Ventricular volumetry using a short-axis stack of two-dimensional (D) cine balanced steady-state free precession (bSSFP) sequences is crucial in any cardiac magnetic resonance imaging (MRI) examination. This task becomes particularly chal...
Infant Deep Learning Adolescent Child, Preschool Child Heart Ventricles Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Humans Retrospective Studies Female Male
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Identifying high-risk Fontan phenotypes using K-means clustering of cardiac magnetic resonance-based dyssynchrony metrics.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 14, 2024
BACKGROUND: Individuals with a Fontan circulation encompass a heterogeneous group with adverse outcomes linked to ventricular dilation, dysfunction, and dyssynchrony. The purpose of this study was to assess if unsupervised machine learning cluster an...
Myocardial Contraction Heart Transplantation Fontan Procedure Heart Defects, Congenital Magnetic Resonance Imaging, Cine Risk Assessment Adolescent Time Factors Child Treatment Outcome Cluster Analysis Young Adult Unsupervised Machine Learning Humans Adult Predictive Value of Tests Phenotype Biomechanical Phenomena Ventricular Dysfunction, Left Retrospective Studies Male Image Interpretation, Computer-Assisted Female Ventricular Function, Left Risk Factors
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