AIMC Topic: Aorta

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A Three-Dimensional Deep Convolutional Neural Network for Automatic Segmentation and Diameter Measurement of Type B Aortic Dissection.

Korean journal of radiology Nov 3, 2020
OBJECTIVE: To provide an automatic method for segmentation and diameter measurement of type B aortic dissection (TBAD).
Female Adult Male Body Mass Index Humans Aortic Dissection Retrospective Studies Middle Aged Aorta Deep Learning Computed Tomography Angiography Imaging, Three-Dimensional
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Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition.

The international journal of cardiovascular imaging Oct 29, 2020
The large number of available MRI sequences means patients cannot realistically undergo them all, so the range of sequences to be acquired during a scan are protocolled based on clinical details. Adapting this to unexpected findings identified early ...
Proof of Concept Study Aorta Cardiomyopathy, Dilated Reproducibility of Results Magnetic Resonance Imaging Predictive Value of Tests Pleural Effusion Cardiomyopathy, Hypertrophic Image Interpretation, Computer-Assisted Automation Humans Neural Networks, Computer
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Machine learning for endoleak detection after endovascular aortic repair.

Scientific reports Oct 27, 2020
Diagnosis of endoleak following endovascular aortic repair (EVAR) relies on manual review of multi-slice CT angiography (CTA) by physicians which is a tedious and time-consuming process that is susceptible to error. We evaluate the use of a deep neur...
Endoleak Female Reproducibility of Results Aged Aorta Computed Tomography Angiography Male Humans Endovascular Procedures Neural Networks, Computer Machine Learning
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Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning.

Scientific reports Sep 14, 2020
Cardiac and aortic characteristics are crucial for cardiovascular disease detection. However, noninvasive estimation of aortic hemodynamics and cardiac contractility is still challenging. This paper investigated the potential of estimating aortic sys...
Myocardial Contraction Heart Aorta Models, Cardiovascular Machine Learning Hemodynamics Humans
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Accelerating massively parallel hemodynamic models of coarctation of the aorta using neural networks.

Scientific reports Jun 11, 2020
Comorbidities such as anemia or hypertension and physiological factors related to exertion can influence a patient's hemodynamics and increase the severity of many cardiovascular diseases. Observing and quantifying associations between these factors ...
Constriction, Pathologic Kinetics Models, Biological Aorta Neural Networks, Computer Hemodynamics
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Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learning.

Magnetic resonance in medicine Mar 13, 2020
PURPOSE: To generate fully automated and fast 4D-flow MRI-based 3D segmentations of the aorta using deep learning for reproducible quantification of aortic flow, peak velocity, and dimensions.
Aorta Hemodynamics Deep Learning Magnetic Resonance Imaging Humans Reproducibility of Results
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Fully automatic segmentation of type B aortic dissection from CTA images enabled by deep learning.

European journal of radiology Oct 17, 2019
PURPOSE: This study sought to establish a robust and fully automated Type B aortic dissection (TBAD) segmentation method by leveraging the emerging deep learning techniques.
Adult Male Middle Aged Aortic Dissection Aorta Deep Learning Image Interpretation, Computer-Assisted Female Aged Aged, 80 and over Humans Retrospective Studies Computed Tomography Angiography Aortic Aneurysm
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Partial Policy-Based Reinforcement Learning for Anatomical Landmark Localization in 3D Medical Images.

IEEE transactions on medical imaging Oct 9, 2019
Utilizing the idea of long-term cumulative return, reinforcement learning (RL) has shown remarkable performance in various fields. We follow the formulation of landmark localization in 3D medical images as an RL problem. Whereas value-based methods h...
Imaging, Three-Dimensional Magnetic Resonance Imaging Anatomic Landmarks Spine Aorta Machine Learning Algorithms Tomography, X-Ray Computed Humans
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Artificial Intelligence for Aortic Pressure Waveform Analysis During Coronary Angiography: Machine Learning for Patient Safety.

JACC. Cardiovascular interventions Sep 25, 2019
OBJECTIVES: This study developed a neural network to perform automated pressure waveform analysis and allow real-time accurate identification of damping.
Heart Rate Artifacts Observer Variation Predictive Value of Tests Coronary Angiography Coronary Artery Disease Arterial Pressure Aorta Cardiac Catheterization Reproducibility of Results Risk Factors Aged Male Patient Safety Middle Aged Databases, Factual Europe Female Humans Neural Networks, Computer Machine Learning
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Estimation of wave reflection in aorta from radial pulse waveform by artificial neural network: a numerical study.

Computer methods and programs in biomedicine Sep 3, 2019
BACKGROUND AND OBJECTIVE: Wave reflection in aorta has been shown to have incremental value for predicting cardiovascular events. However, its estimation by wave separation analysis (WSA) is complex.
Aorta Humans Neural Networks, Computer Blood Pressure Determination Pulse Wave Analysis
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