Aortic dissection continues to be responsible for significant morbidity and mortality, although
recent advances in medical data assimilation and in experimental and in silico models have …

In this work we present a novel methodology for the numerical simulation of patient-specific
aortic dissections. Our proposal, which targets the seamless virtual prototyping of …

Aortic dissection is a life-threatening vascular disease associated with high rates of
morbidity and mortality, especially in medically underserved communities. Understanding …

Aortic dissection is a catastrophic failure of the endothelial wall that could lead to
malperfusion or rupture. Computational modelling tools may help detect arterial damage …

(1) Background: Identifying acute aortic syndrome (AAS) and thoracic aortic aneurysm (TAA)
in busy emergency departments (EDs) is crucial due to their life-threatening nature …

This study aimed to examine the hemodynamic modifications in uncomplicated type B aortic
dissection in relation to the location of re-entry tears using a computational fluid dynamics …

Purpose: This study evaluates the use of deep learning techniques to automatically extract
and delineate the aortic valve annulus region from contrast-enhanced cardiac CT images …

While much about the fundamental mechanisms behind the initiation and progression of
Type B aortic dissection (TBAD) is still unknown, predictive models based on patient-specific …

目的研究Stanford A 型主动脉夹层的血流动力学变化. 方法收集4 名Stanford A
型主动脉夹层患者和2 名健康志愿者的主动脉计算机断层扫描血管造影(computed tomography …

Abnormal hemodynamics in the human aorta can lead to serious cardiovascular disease
until death. While in-vivo measurements are invasive and relatively inaccurate …