AIMC Topic: Aorta

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Estimation of Central Aortic Pressure Waveforms by Combination of a Meta-Learning Neural Network and a Physics-Driven Method.

International journal for numerical methods in biomedical engineering Jan 1, 2025
The accurate non-invasive detection and estimation of central aortic pressure waveforms (CAPW) are crucial for reliable treatments of cardiovascular system diseases. But the accuracy and practicality of current estimation methods need to be improved....
Machine Learning Algorithms Female Humans Neural Networks, Computer Arterial Pressure Cardiac Output Aorta Middle Aged Heart Rate Male
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A Comparative Study of Machine Learning and Algorithmic Approaches to Automatically Identify the Yield Point in Normal and Aneurysmal Human Aortic Tissues.

Journal of biomechanical engineering Apr 1, 2024
The stress-strain curve of biological soft tissues helps characterize their mechanical behavior. The yield point on this curve is when a specimen breaches its elastic range due to irreversible microstructural damage. The yield point is easily found u...
Humans Machine Learning Stress, Mechanical Aorta Biomechanical Phenomena
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Framework Development for Patient-Specific Compliant Aortic Dissection Phantom Model Fabrication: Magnetic Resonance Imaging Validation and Deep-Learning Segmentation.

Journal of biomechanical engineering Sep 1, 2023
Type B aortic dissection is a life-threatening medical emergency that can result in rupture of the aorta. Due to the complexity of patient-specific characteristics, only limited information on flow patterns in dissected aortas has been reported in th...
Humans Tomography, X-Ray Computed Magnetic Resonance Imaging Aortic Dissection Deep Learning Aorta Image Processing, Computer-Assisted
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Segmentation of human aorta using 3D nnU-net-oriented deep learning.

The Review of scientific instruments Nov 1, 2022
Computed tomography angiography (CTA) has become the main imaging technique for cardiovascular diseases. Before performing the transcatheter aortic valve intervention operation, segmenting images of the aortic sinus and nearby cardiovascular tissue f...
Humans Tomography, X-Ray Computed Aorta Deep Learning Heart Cardiovascular Diseases
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[Clinical Application of "Three-Low" Technique Combined with Artificial Intelligence Iterative Reconstruction Algorithm in Aortic CT Angiography].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Jul 1, 2022
OBJECTIVE: To explore the application value of the "three-low" technique (low radiation dose, low contrast agent dosage and low contrast agent flow rate) combined with artificial intelligence iterative reconstruction (AIIR) in aortic CT angiography (...
Computed Tomography Angiography Radiation Dosage Aorta Artificial Intelligence Algorithms Contrast Media Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Humans
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A Cascaded Deep Learning Framework for Detecting Aortic Dissection Using Non-contrast Enhanced Computed Tomography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Aortic dissection (AD) is a rare but potentially fatal disease with high mortality. The aim of this study is to synthesize contrast enhanced computed tomography (CE-CT) images from non-contrast CT (NCE-CT) images for detecting aortic dissection. In t...
Aortic Dissection Aorta Tomography, X-Ray Computed Deep Learning Humans
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Machine Learning and Deep Neural Network Applications in the Thorax: Pulmonary Embolism, Chronic Thromboembolic Pulmonary Hypertension, Aorta, and Chronic Obstructive Pulmonary Disease.

Journal of thoracic imaging May 1, 2020
The radiologic community is rapidly integrating a revolution that has not fully entered daily practice. It necessitates a close collaboration between computer scientists and radiologists to move from concepts to practical applications. This article r...
Humans Pulmonary Embolism Tomography, X-Ray Computed Hypertension, Pulmonary Pulmonary Disease, Chronic Obstructive Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Chronic Disease Aorta Machine Learning Aortic Aneurysm
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Classification of Aortic Dissection and Rupture on Post-contrast CT Images Using a Convolutional Neural Network.

Journal of digital imaging Dec 1, 2019
Aortic dissections and ruptures are life-threatening injuries that must be immediately treated. Our national radiology practice receives dozens of these cases each month, but no automated process is currently available to check for critical pathologi...
Aortic Dissection Aorta Aortic Rupture Radiographic Image Enhancement Middle Aged Humans Contrast Media Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Male Tomography, X-Ray Computed Neural Networks, Computer Female Prospective Studies Reproducibility of Results
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Characterization of Helical Propulsion Inside In Vitro and Ex Vivo Models of a Rabbit Aorta.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
In this work, the propulsion of a helical robot is experimentally characterized inside whole blood (in vitro model) and against the flowing streams of phosphate buffered saline (PBS) inside rabbit aorta (ex vivo model). The helical robot is magnetica...
Blood Flow Velocity Aorta Robotics Animals Rabbits Models, Biological Magnetic Fields
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A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis.

Journal of the Royal Society, Interface Jan 1, 2018
Structural finite-element analysis (FEA) has been widely used to study the biomechanics of human tissues and organs, as well as tissue-medical device interactions, and treatment strategies. However, patient-specific FEA models usually require complex...
Finite Element Analysis Deep Learning Humans Stress, Mechanical Models, Cardiovascular Computer Simulation Aorta
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