AIMC Topic: Aorta

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Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 8, 2024
BACKGROUND: Four-dimensional cardiovascular magnetic resonance flow imaging (4D flow CMR) plays an important role in assessing cardiovascular diseases. However, the manual or semi-automatic segmentation of aortic vessel boundaries in 4D flow data int...
Blood Flow Velocity Aorta Perfusion Imaging Humans Regional Blood Flow Neural Networks, Computer Image Interpretation, Computer-Assisted Female Bicuspid Aortic Valve Disease Datasets as Topic Male Deep Learning Reproducibility of Results Middle Aged Aged Aortic Valve Case-Control Studies Predictive Value of Tests Young Adult Hemodynamics Adult
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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 ...
Humans Algorithms Pregnancy Female Aorta Pulmonary Artery Fetal Heart Vena Cava, Superior Ultrasonography, Prenatal Deep Learning Image Interpretation, Computer-Assisted Heart Defects, Congenital
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Physics-informed neural networks for parameter estimation in blood flow models.

Computers in biology and medicine Jun 5, 2024
BACKGROUND: Physics-informed neural networks (PINNs) have emerged as a powerful tool for solving inverse problems, especially in cases where no complete information about the system is known and scatter measurements are available. This is especially ...
Blood Flow Velocity Aorta Models, Cardiovascular Humans Neural Networks, Computer Computer Simulation Hemodynamics
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Heart and great vessels segmentation in congenital heart disease via CNN and conditioned energy function postprocessing.

International journal of computer assisted radiology and surgery May 30, 2024
PURPOSE: The segmentation of the heart and great vessels in CT images of congenital heart disease (CHD) is critical for the clinical assessment of cardiac anomalies and the diagnosis of CHD. However, the diverse types and abnormalities inherent in CH...
Heart Humans Heart Defects, Congenital Neural Networks, Computer Aorta Tomography, X-Ray Computed Pulmonary Artery Imaging, Three-Dimensional
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Aorta Segmentation in 3D CT Images by Combining Image Processing and Machine Learning Techniques.

Cardiovascular engineering and technology Feb 22, 2024
PURPOSE: Aorta segmentation is extremely useful in clinical practice, allowing the diagnosis of numerous pathologies, such as dissections, aneurysms and occlusive disease. In such cases, image segmentation is prerequisite for applying diagnostic algo...
Reproducibility of Results Imaging, Three-Dimensional Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Aortography Markov Chains Aorta Computed Tomography Angiography Aortic Diseases
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Performance of Fourier-based activation function in physics-informed neural networks for patient-specific cardiovascular flows.

Computer methods and programs in biomedicine Feb 22, 2024
BACKGROUND AND OBJECTIVES: Physics-informed neural networks (PINNs) can be used to inversely model complex physical systems by encoding the governing partial differential equations and training data into the neural network. However, neural networks a...
Physics Humans Neural Networks, Computer Constriction, Pathologic Diffusion Aorta
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An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation.

IEEE transactions on medical imaging Feb 2, 2024
Coronary artery segmentation is critical for coronary artery disease diagnosis but challenging due to its tortuous course with numerous small branches and inter-subject variations. Most existing studies ignore important anatomical information and vas...
Humans Deep Learning Image Processing, Computer-Assisted Heart Coronary Artery Disease Aorta
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CT angiography prior to endovascular procedures: can artificial intelligence improve reporting?

Physical and engineering sciences in medicine Jan 31, 2024
CT angiography prior to endovascular aortic surgery is the standard non-invasive imaging method for evaluation of aortic dimensions and access sites. A detailed report is crucial to a proper planning. We assessed Artificial Intelligence (AI)-algorith...
Humans Artificial Intelligence Algorithms Female Endovascular Procedures Aged Aorta Computed Tomography Angiography Aged, 80 and over Transcatheter Aortic Valve Replacement Male
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Deep Learning-Based Analysis of Aortic Morphology From Three-Dimensional MRI.

Journal of magnetic resonance imaging : JMRI Jan 12, 2024
BACKGROUND: Quantification of aortic morphology plays an important role in the evaluation and follow-up assessment of patients with aortic diseases, but often requires labor-intensive and operator-dependent measurements. Automatic solutions would hel...
Aortic Diseases Turner Syndrome Hypertension Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Aorta Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Aged Retrospective Studies Adult Female Male Reproducibility of Results Middle Aged
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A precise blood transfusion evaluation model for aortic surgery: a single-center retrospective study.

Journal of clinical monitoring and computing Dec 27, 2023
Cardiac aortic surgery is an extremely complicated procedure that often requires large volume blood transfusions during the operation. Currently, it is not possible to accurately estimate the intraoperative blood transfusion volume before surgery. Th...
Erythrocyte Transfusion Cardiac Surgical Procedures Adult Aorta Retrospective Studies Male China Humans Intraoperative Care Female Middle Aged Machine Learning Blood Loss, Surgical Risk Factors Algorithms Blood Transfusion Aged Decision Trees
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