AIMC Topic: Magnetic Resonance Imaging, Cine

Clear Filters Showing 1 to 10 of 177 articles

Integrating radiomic texture analysis and deep learning for automated myocardial infarction detection in cine-MRI.

Scientific reports Jul 8, 2025
Robust differentiation between infarcted and normal myocardial tissue is essential for improving diagnostic accuracy and personalizing treatment in myocardial infarction (MI). This study proposes a hybrid framework combining radiomic texture analysis...
Image Processing, Computer-Assisted Myocardial Infarction Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Humans Radiomics Male Deep Learning
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High-Resolution Maps of Left Atrial Displacements and Strains Estimated With 3D Cine MRI Using Online Learning Neural Networks.

IEEE transactions on medical imaging May 2, 2025
The functional analysis of the left atrium (LA) is important for evaluating cardiac health and understanding diseases like atrial fibrillation. Cine MRI is ideally placed for the detailed 3D characterization of LA motion and deformation but is lackin...
Middle Aged Imaging, Three-Dimensional Heart Atria Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Female Aged Adult Male Humans Neural Networks, Computer
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Deep learning based automated left atrial segmentation and flow quantification of real time phase contrast MRI in patients with atrial fibrillation.

The international journal of cardiovascular imaging Apr 29, 2025
Real time 2D phase contrast (RTPC) MRI is useful for flow quantification in atrial fibrillation (AF) patients, but data analysis requires time-consuming anatomical contouring for many cardiac time frames. Our goal was to develop a convolutional neura...
Predictive Value of Tests Atrial Fibrillation Heart Atria Heart Rate Middle Aged Deep Learning Time Factors Magnetic Resonance Imaging Atrial Function, Left Magnetic Resonance Imaging, Cine Image Interpretation, Computer-Assisted Observer Variation Automation Blood Flow Velocity Humans Female Reproducibility of Results Aged Male
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Artificial intelligence-assisted left ventricular global longitudinal strain assessment in patients with acute myocardial infarction: a RESUS-AMI trial sub-analysis.

The international journal of cardiovascular imaging Apr 29, 2025
PURPOSE: The aim of this sub-analysis of the RESUS-AMI trial was to evaluate the correlation of artificial intelligence (AI)-assisted echocardiographic global longitudinal strain (GLS) assessments with infarct size, left ventricular ejection fraction...
Humans Artificial Intelligence Global Longitudinal Strain Treatment Outcome Predictive Value of Tests ST Elevation Myocardial Infarction Percutaneous Coronary Intervention Image Interpretation, Computer-Assisted Observer Variation Magnetic Resonance Imaging, Cine Ventricular Function, Left Myocardial Contraction Female Stroke Volume Reproducibility of Results Echocardiography Aged Middle Aged Male
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HALSR-Net: Improving CNN Segmentation of Cardiac Left Ventricle MRI with Hybrid Attention and Latent Space Reconstruction.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 12, 2025
Accurate cardiac MRI segmentation is vital for detailed cardiac analysis, yet the manual process is labor-intensive and prone to variability. Despite advancements in MRI technology, there remains a significant need for automated methods that can reli...
Image Processing, Computer-Assisted Heart Ventricles Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Humans Neural Networks, Computer Reproducibility of Results
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Machine Learning Identification of Patient Phenoclusters in Aortic Regurgitation.

JACC. Cardiovascular imaging Mar 26, 2025
BACKGROUND: Current treatment paradigms assume aortic regurgitation (AR) patients to be a homogenous population, but varied courses of disease progression and outcomes are observed clinically.
Disease Progression Severity of Illness Index Time Factors United States Aortic Valve Unsupervised Machine Learning Predictive Value of Tests Prognosis Sex Factors Retrospective Studies Male Female Ventricular Function, Left Risk Factors Reproducibility of Results Aortic Valve Insufficiency Middle Aged Aged Humans Risk Assessment Magnetic Resonance Imaging, Cine Adult Machine Learning Decision Support Techniques Phenotype
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Texture-based probability mapping for automatic assessment of myocardial injury in late gadolinium enhancement images after revascularized STEMI.

International journal of cardiology Mar 2, 2025
BACKGROUND: Late Gadolinium-enhancement in cardiac magnetic resonance imaging (LGE-CMR) is the gold standard for assessing myocardial infarction (MI) size. Texture-based probability mapping (TPM) is a novel machine learning-based analysis of LGE imag...
Gadolinium Proof of Concept Study Magnetic Resonance Imaging, Cine Follow-Up Studies Contrast Media ST Elevation Myocardial Infarction Percutaneous Coronary Intervention Aged Male Middle Aged Humans Prospective Studies Female
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Computationally Efficient Implicit Training Strategy for Unrolled Networks (IMUNNE): A Preliminary Analysis Using Accelerated Real-Time Cardiac Cine MRI.

IEEE transactions on bio-medical engineering Jan 15, 2025
OBJECTIVE: Highly-undersampled, dynamic MRI reconstruction, particularly in multi-coil scenarios, is a challenging inverse problem. Unrolled networks achieve state-of-the-art performance in MRI reconstruction but suffer from long training times and e...
Deep Learning Image Processing, Computer-Assisted Heart Magnetic Resonance Imaging, Cine Humans Neural Networks, Computer Algorithms
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Artificial intelligence for left ventricular hypertrophy detection and differentiation on echocardiography, cardiac magnetic resonance and cardiac computed tomography: A systematic review.

International journal of cardiology Jan 10, 2025
AIMS: Left ventricular hypertrophy (LVH) is a common clinical finding associated with adverse cardiovascular outcomes. Once LVH is diagnosed, defining its cause has crucial clinical implications. Artificial intelligence (AI) may allow significant pro...
Echocardiography Humans Diagnosis, Differential Artificial Intelligence Hypertrophy, Left Ventricular Tomography, X-Ray Computed Magnetic Resonance Imaging, Cine
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Prediction of real-time cine-MR images during MRI-guided radiotherapy of liver cancer using a GAN-ConvLSTM network.

Medical physics Jan 4, 2025
BACKGROUND: Respiratory motion during radiotherapy (RT) may reduce the therapeutic effect and increase the dose received by organs at risk. This can be addressed by real-time tracking, where respiration motion prediction is currently required to comp...
Magnetic Resonance Imaging, Cine Humans Neural Networks, Computer Deep Learning Time Factors Liver Neoplasms Image Processing, Computer-Assisted Respiration Radiotherapy, Image-Guided
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