AIMC Topic: Aorta

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Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT.

European journal of radiology Sep 12, 2023
PURPOSE/OBJECTIVE: Reliable detection of thoracic aortic dilatation (TAD) is mandatory in clinical routine. For ECG-gated CT angiography, automated deep learning (DL) algorithms are established for diameter measurements according to current guideline...
Humans Cross-Sectional Studies Deep Learning Aorta Algorithms Tomography, X-Ray Computed
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Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology.

Computers in biology and medicine Jul 29, 2023
Hemodynamic parameters are of great significance in the clinical diagnosis and treatment of cardiovascular diseases. However, noninvasive, real-time and accurate acquisition of hemodynamics remains a challenge for current invasive detection and simul...
Aorta Computer Simulation Neural Networks, Computer Hemodynamics Algorithms Humans
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Deep learning-aided extraction of outer aortic surface from CT angiography scans of patients with Stanford type B aortic dissection.

European radiology experimental Jun 29, 2023
BACKGROUND: Guidelines recommend that aortic dimension measurements in aortic dissection should include the aortic wall. This study aimed to evaluate two-dimensional (2D)- and three-dimensional (3D)-based deep learning approaches for extraction of ou...
Retrospective Studies Deep Learning Humans Computed Tomography Angiography Aortic Dissection Aorta
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Hemodynamic study of blood flow in the aorta during the interventional robot treatment using fluid-structure interaction.

Biomechanics and modeling in mechanobiology Jun 17, 2023
An interventional robot is a means for vascular diagnosis and treatment, and it can perform dredging, releasing drug and operating. Normal hemodynamic indicators are a prerequisite for the application of interventional robots. The current hemodynamic...
Computer Simulation Hemodynamics Models, Cardiovascular Pulsatile Flow Blood Flow Velocity Robotics Aorta Blood Pressure
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Transthoracic Aortic Clamp Technique for Port-Only Endoscopic Robotic Mitral Surgery.

Innovations (Philadelphia, Pa.) May 25, 2023
OBJECTIVE: Many robotic mitral surgeons utilize right thoracotomy with transthoracic clamping of the aorta, while a smaller number employ a port-only endoscopic approach with endoaortic balloon occlusion of the aorta. We present our technique for a p...
Aortic Diseases Robotics Minimally Invasive Surgical Procedures Cardiac Surgical Procedures Aorta Robotic Surgical Procedures Humans Endoscopy
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4D segmentation of the thoracic aorta from 4D flow MRI using deep learning.

Magnetic resonance imaging Jan 5, 2023
BACKGROUND: 4D flow MRI allows the analysis of hemodynamic changes in the aorta caused by pathologies such as thoracic aortic aneurysms (TAA). For personalized management of TAA, new biomarkers are required to analyze the effect of fluid structure it...
Aorta Magnetic Resonance Imaging, Cine Deep Learning Magnetic Resonance Imaging Aortic Aneurysm, Thoracic Blood Flow Velocity Aorta, Thoracic Humans
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G2Φnet: Relating genotype and biomechanical phenotype of tissues with deep learning.

PLoS computational biology Oct 31, 2022
Many genetic mutations adversely affect the structure and function of load-bearing soft tissues, with clinical sequelae often responsible for disability or death. Parallel advances in genetics and histomechanical characterization provide significant ...
Aorta Mice Genotype Biomechanical Phenomena Animals Phenotype Deep Learning
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Artificial intelligence for automated evaluation of aortic measurements in 2D echocardiography: Feasibility, accuracy, and reproducibility.

Echocardiography (Mount Kisco, N.Y.) Oct 20, 2022
AIMS: This study sought to examine the feasibility, accuracy and reproducibility of a novel, fully automated 2D transthoracic echocardiography (2D TTE) parasternal long axis (PLAX) view aortic measurements quantification software compared to board-ce...
Artificial Intelligence Retrospective Studies Echocardiography Aortic Valve Echocardiography, Three-Dimensional Reproducibility of Results Humans Feasibility Studies Aorta
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Deep learning-based medical image segmentation of the aorta using XR-MSF-U-Net.

Computer methods and programs in biomedicine Aug 11, 2022
PURPOSE: This paper proposes a CT images and MRI segmentation technology of cardiac aorta based on XR-MSF-U-Net model. The purpose of this method is to better analyze the patient's condition, reduce the misdiagnosis and mortality rate of cardiovascul...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Aorta Tomography, X-Ray Computed Deep Learning
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Deep Learning Based Centerline-Aggregated Aortic Hemodynamics: An Efficient Alternative to Numerical Modeling of Hemodynamics.

IEEE journal of biomedical and health informatics Apr 14, 2022
Image-based patient-specific modelling of hemodynamics are gaining increased popularity as a diagnosis and outcome prediction solution for a variety of cardiovascular diseases. While their potential to improve diagnostic capabilities and thereby clin...
Aorta Patient-Specific Modeling Hemodynamics Humans Models, Cardiovascular Deep Learning Computer Simulation
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