AIMC Topic: Magnetic Resonance Imaging, Cine

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Myocardial scar and left ventricular ejection fraction classification for electrocardiography image using multi-task deep learning.

Scientific reports Mar 29, 2024
Myocardial scar (MS) and left ventricular ejection fraction (LVEF) are vital cardiovascular parameters, conventionally determined using cardiac magnetic resonance (CMR). However, given the high cost and limited availability of CMR in resource-constra...
Stroke Volume Deep Learning Electrocardiography Cicatrix Magnetic Resonance Imaging, Cine Humans Ventricular Function, Left
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Quality assurance of late gadolinium enhancement cardiac magnetic resonance images: a deep learning classifier for confidence in the presence or absence of abnormality with potential to prompt real-time image optimization.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 24, 2024
BACKGROUND: Late gadolinium enhancement (LGE) of the myocardium has significant diagnostic and prognostic implications, with even small areas of enhancement being important. Distinguishing between definitely normal and definitely abnormal LGE images ...
Male Middle Aged Deep Learning Contrast Media Female Reproducibility of Results Aged Heart Diseases Image Interpretation, Computer-Assisted Quality Assurance, Health Care Observer Variation Magnetic Resonance Imaging Predictive Value of Tests Myocardium Humans Databases, Factual Magnetic Resonance Imaging, Cine
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A motion-corrected deep-learning reconstruction framework for accelerating whole-heart magnetic resonance imaging in patients with congenital heart disease.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 22, 2024
BACKGROUND: Cardiovascular magnetic resonance (CMR) is an important imaging modality for the assessment and management of adult patients with congenital heart disease (CHD). However, conventional techniques for three-dimensional (3D) whole-heart acqu...
Magnetic Resonance Imaging, Cine Deep Learning Time Factors Reproducibility of Results Young Adult Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Magnetic Resonance Imaging Heart Defects, Congenital Adult Predictive Value of Tests Humans Male Female
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Cine-cardiac magnetic resonance to distinguish between ischemic and non-ischemic cardiomyopathies: a machine learning approach.

European radiology Mar 7, 2024
OBJECTIVE: This work aimed to derive a machine learning (ML) model for the differentiation between ischemic cardiomyopathy (ICM) and non-ischemic cardiomyopathy (NICM) on non-contrast cardiovascular magnetic resonance (CMR).
Retrospective Studies Female Reproducibility of Results Aged Humans Machine Learning Diagnosis, Differential Myocardial Ischemia Sensitivity and Specificity Cardiomyopathies Male Magnetic Resonance Imaging, Cine Middle Aged
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A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis.

IEEE transactions on bio-medical engineering Feb 26, 2024
Cine cardiac magnetic resonance (CMR) imaging is considered the gold standard for cardiac function evaluation. However, cine CMR acquisition is inherently slow and in recent decades considerable effort has been put into accelerating scan times withou...
Heart Magnetic Resonance Imaging, Cine Humans Deep Learning
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Assessment of deep learning segmentation for real-time free-breathing cardiac magnetic resonance imaging at rest and under exercise stress.

Scientific reports Feb 14, 2024
In recent years, a variety of deep learning networks for cardiac MRI (CMR) segmentation have been developed and analyzed. However, nearly all of them are focused on cine CMR under breathold. In this work, accuracy of deep learning methods is assessed...
Humans Ventricular Function, Left Stroke Volume Retrospective Studies Reproducibility of Results Magnetic Resonance Imaging, Cine Deep Learning Magnetic Resonance Imaging Heart Ventricles
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Prospective Comparison of Free-Breathing Accelerated Cine Deep Learning Reconstruction Versus Standard Breath-Hold Cardiac MRI Sequences in Patients With Ischemic Heart Disease.

AJR. American journal of roentgenology Feb 7, 2024
Cine cardiac MRI sequences require repeated breath-holds, which can be difficult for patients with ischemic heart disease (IHD). The purpose of the study was to compare a free-breathing accelerated cine sequence using deep learning (DL) reconstruct...
Magnetic Resonance Imaging, Cine Aged Male Middle Aged Humans Myocardial Ischemia Deep Learning Image Interpretation, Computer-Assisted Prospective Studies Breath Holding Female
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Identification of high-risk imaging features in hypertrophic cardiomyopathy using electrocardiography: A deep-learning approach.

Heart rhythm Jan 26, 2024
BACKGROUND: Patients with hypertrophic cardiomyopathy (HCM) are at risk of sudden death, and individuals with ≥1 major risk markers are considered for primary prevention implantable cardioverter-defibrillators. Guidelines recommend cardiac magnetic r...
Risk Assessment Risk Factors Deep Learning Humans Cardiomyopathy, Hypertrophic Male Magnetic Resonance Imaging, Cine Retrospective Studies Electrocardiography Death, Sudden, Cardiac Middle Aged Female
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Inter-fractional portability of deep learning models for lung target tracking on cine imaging acquired in MRI-guided radiotherapy.

Physical and engineering sciences in medicine Jan 10, 2024
MRI-guided radiotherapy systems enable beam gating by tracking the target on planar, two-dimensional cine images acquired during treatment. This study aims to evaluate how deep-learning (DL) models for target tracking that are trained on data from on...
Radiotherapy, Image-Guided Magnetic Resonance Imaging, Cine Lung Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Humans Algorithms
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Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 10, 2024
BACKGROUND: 4D flow MRI enables assessment of cardiac function and intra-cardiac blood flow dynamics from a single acquisition. However, due to the poor contrast between the chambers and surrounding tissue, quantitative analysis relies on the segment...
Magnetic Resonance Imaging, Cine Male Ventricular Function, Left Humans Middle Aged Deep Learning Automation Databases, Factual Coronary Circulation Predictive Value of Tests Blood Flow Velocity Female Myocardial Perfusion Imaging Heart Ventricles Reproducibility of Results Image Interpretation, Computer-Assisted
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