Results 21 to 30 of about 11,439 (75)
A CASE OF LIGATION OF THE VERTEBRAL ARTERY TERY FOR AGGRAVATED EPILEPSY. [PDF]
Edmund Andrews
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Propagation of Uncertainty and Analysis of Signal-to-Noise in Nonlinear Compliance Estimations of an Arterial System Model [PDF]
The arterial system dynamically loads the heart through changes in arterial compliance. The pressure-volume relation of arteries is known to be nonlinear, but arterial compliance is often modeled as a constant value, due to ease of estimation and interpretation.
arxiv
Multi-vertebral CT-based FE models implementing linear isotropic population-based material properties for the intervertebral discs cannot accurately predict strains [PDF]
Vertebral fractures prediction in clinics lacks of accuracy. The most used scores have limitations in distinguishing between subjects at risk or not. Finite element (FE) models generated from computed tomography (CT) of these patients may improve the predictive capability.
arxiv
Ex vivo experiment on vertebral body with defect representing bone metastasis [PDF]
Osteolytic metastases located in the vertebrae reduce strength and enhance the risk of vertebral fractures. This risk can be predicted by means of validated finite element models, but their reproducibility needs to be assessed. For that purpose, experimental data are requested.
arxiv
The theoretical basis of reservoir pressure in arteries [PDF]
The separation of measured arterial pressure into a reservoir pressure and an excess pressure was introduced nearly 20 years ago as an heuristic hypothesis. We demonstrate that a two-time asymptotic analysis of the 1-D conservation equations in each artery coupled with the separation of the smaller arteries into inviscid and resistance arteries, based ...
arxiv
THE PONTINE ARTERIES IN VERTEBRAL ANGIOGRAPHY [PDF]
Trygve O. Gabrielsen, P. Amundsen
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Multi-graph Graph Matching for Coronary Artery Semantic Labeling [PDF]
Coronary artery disease (CAD) stands as the leading cause of death worldwide, and invasive coronary angiography (ICA) remains the gold standard for assessing vascular anatomical information. However, deep learning-based methods encounter challenges in generating semantic labels for arterial segments, primarily due to the morphological similarity ...
arxiv