AIMC Topic: Pulmonary Artery

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Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences.

Nature communications Mar 6, 2025
Pulmonary artery-vein segmentation is critical for disease diagnosis and surgical planning. Traditional methods rely on Computed Tomography Pulmonary Angiography (CTPA), which requires contrast agents with potential health risks. Non-contrast CT, a s...
Tomography, X-Ray Computed Male Female Middle Aged Aged Lung Adult Deep Learning Computed Tomography Angiography Humans Pulmonary Artery Pulmonary Veins
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Constitutive neural networks for main pulmonary arteries: discovering the undiscovered.

Biomechanics and modeling in mechanobiology Feb 24, 2025
Accurate modeling of cardiovascular tissues is crucial for understanding and predicting their behavior in various physiological and pathological conditions. In this study, we specifically focus on the pulmonary artery in the context of the Ross proce...
Anisotropy Biomechanical Phenomena Stress, Mechanical Models, Cardiovascular Pulmonary Artery Humans Neural Networks, Computer
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Development and Evaluation of a Deep Learning-Based Pulmonary Hypertension Screening Algorithm Using a Digital Stethoscope.

Journal of the American Heart Association Feb 3, 2025
BACKGROUND: Despite the poor outcomes related to the presence of pulmonary hypertension, it often goes undiagnosed in part because of low suspicion and screening tools not being easily accessible such as echocardiography. A new readily available scre...
Humans Algorithms Female Middle Aged Deep Learning Predictive Value of Tests Hypertension, Pulmonary Reproducibility of Results Aged Male Echocardiography Stethoscopes Pulmonary Artery Phonocardiography
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Multi-Energy Evaluation of Image Quality in Spectral CT Pulmonary Angiography Using Different Strength Deep Learning Spectral Reconstructions.

Academic radiology Dec 27, 2024
RATIONALE AND OBJECTIVES: To evaluate and compare image quality of different energy levels of virtual monochromatic images (VMIs) using standard versus strong deep learning spectral reconstruction (DLSR) on dual-energy CT pulmonary angiogram (DECT-PA...
Radiographic Image Interpretation, Computer-Assisted Pulmonary Embolism Signal-To-Noise Ratio Computed Tomography Angiography Pulmonary Artery Radiography, Dual-Energy Scanned Projection Adult Male Middle Aged Deep Learning Retrospective Studies Female Aged Aged, 80 and over Humans
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Identification of an immune-related gene panel for the diagnosis of pulmonary arterial hypertension using bioinformatics and machine learning.

International immunopharmacology Nov 30, 2024
OBJECTIVE: This study aimed to screen an immune-related gene (IRG) panel and develop a novel approach for diagnosing pulmonary arterial hypertension (PAH) utilizing bioinformatics and machine learning (ML).
Mice Computational Biology Animals Pulmonary Artery Disease Models, Animal Male Humans Pulmonary Arterial Hypertension Mice, Inbred C57BL Lung Machine Learning Superoxide Dismutase-1 Gene Expression Profiling Biomarkers
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Application of a Deep Learning-Based Contrast-Boosting Algorithm to Low-Dose Computed Tomography Pulmonary Angiography With Reduced Iodine Load.

Journal of computer assisted tomography Oct 10, 2024
OBJECTIVE: The aim of this study was to assess the effectiveness of a deep learning-based image contrast-boosting algorithm by enhancing the image quality of low-dose computed tomography pulmonary angiography at reduced iodine load.
Aged, 80 and over Adult Male Middle Aged Algorithms Retrospective Studies Female Aged Pulmonary Embolism Radiation Dosage Humans Computed Tomography Angiography Radiographic Image Enhancement Deep Learning Pulmonary Artery Iodine Contrast Media Radiographic Image Interpretation, Computer-Assisted
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Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm - a single centre retrospective study.

The international journal of cardiovascular imaging Aug 28, 2024
To preliminarily verify the feasibility of a deep-learning (DL) artificial intelligence (AI) model to localize pulmonary embolism (PE) on unenhanced chest-CT by comparison with pulmonary artery (PA) CT angiography (CTA). In a monocentric study, we re...
Middle Aged Deep Learning Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Humans Pulmonary Embolism Computed Tomography Angiography Pulmonary Artery Aged Aged, 80 and over Adult Male Algorithms Retrospective Studies Female Reproducibility of Results Incidental Findings
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Hierarchical Hybrid Networks for Automatic Pulmonary Blood Vessel Segmentation in Computed Tomography Images.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Pulmonary arterial hypertension (PAH) is considered the third most common cardiovascular disease after coronary heart disease and hypertension. The diagnosis of PAH is mainly based on the comprehensive judgment of computed tomography and other medica...
Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Pulmonary Artery Tomography, X-Ray Computed
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A Coarse-Fine Collaborative Learning Model for Three Vessel Segmentation in Fetal Cardiac Ultrasound Images.

IEEE journal of biomedical and health informatics Jul 2, 2024
Congenital heart disease (CHD) is the most frequent birth defect and a leading cause of infant mortality, emphasizing the crucial need for its early diagnosis. Ultrasound is the primary imaging modality for prenatal CHD screening. As a complement to ...
Aorta Pulmonary Artery Fetal Heart Vena Cava, Superior Humans Ultrasonography, Prenatal Algorithms Deep Learning Pregnancy Image Interpretation, Computer-Assisted Female Heart Defects, Congenital
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Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data.

PLoS computational biology Jun 20, 2024
Computational fluid dynamics (CFD) can be used for non-invasive evaluation of hemodynamics. However, its routine use is limited by labor-intensive manual segmentation, CFD mesh creation, and time-consuming simulation. This study aims to train a deep ...
Blood Flow Velocity Imaging, Three-Dimensional Humans Hydrodynamics Computational Biology Neural Networks, Computer Models, Cardiovascular Magnetic Resonance Imaging Hemodynamics Pulmonary Artery Proof of Concept Study Deep Learning
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