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首页> 外文期刊>Journal of Biomechanics >Descending aorta subject-specific one-dimensional model validated against in vivo data
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Descending aorta subject-specific one-dimensional model validated against in vivo data

机译：针对体内数据验证的降主动脉特定对象一维模型

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The aorta plays a major role in the cardiovascular system and its function and structure are primarily affected by aging, eating habits, life style and other cardiovascular risk factors, inducing increased stiffness which is associated with cardiovascular and cerebral morbi-mortality. Our objective was to develop and validate a robust subject-specific one-dimensional wave propagation numerical model of the descending aorta. This model with a cross-sectional area, velocity and pressure formulation is built using geometric and hemodynamic data measured on a specific person and is validated against in vivo data acquired on the same subject at three distinct anatomical locations along the thoracic aorta. We studied seven healthy volunteers, who underwent carotid applanation tonometry and aortic cardiovascular magnetic resonance (CMR). Responses of our model in terms of changes in central pressure waveform with arterial alterations were consistent with previously described physiological knowledge. Quantitative validation averaged over the three descending aortic locations and the seven subjects provided low rms errors (given in percentage of the maximal clinical value) between simulated and CMR data, i.e. area: 10±6%, velocity: 11±3%, flow rate: 9±3%. Finally, we also found low rms (5±2%) when comparing simulated pressure in the proximal aortic location against tonometric carotid pressure curves. In conclusion, this simple model performs similar to more complex models of the entire systemic arterial tree at a fraction of the cost, and could be of major usefulness in the non-invasive and local estimation of proximal biomechanical and hemodynamic indices.
机译：主动脉在心血管系统中起主要作用，其功能和结构主要受衰老，饮食习惯，生活方式和其他心血管危险因素的影响，导致僵硬程度增加，这与心血管和脑部疾病的死亡率有关。我们的目标是开发和验证降主动脉的稳健的，针对特定对象的一维波传播数值模型。使用在特定人身上测量的几何和血液动力学数据建立具有横截面积，速度和压力公式的模型，并根据在沿着胸主动脉的三个不同解剖位置在同一对象上获得的体内数据进行验证。我们研究了七名健康志愿者，他们接受了颈动脉压平眼压计和主动脉心血管磁共振（CMR）。我们模型对中心压力波形随动脉改变的反应与先前描述的生理学知识一致。在三个降主动脉位置平均定量验证，这七个受试者在模拟和CMR数据之间提供了较低的均方根误差（以最大临床值的百分比给出），即面积：10±6％，速度：11±3％，流速：9±3％。最后，当将近端主动脉位置的模拟压力与眼压性颈动脉压力曲线进行比较时，我们还发现均方根值较低（5±2％）。总之，该简单模型的执行成本与整个系统动脉树的更复杂模型相似，而成本却只有其一小部分，并且在近端生物力学和血液动力学指标的非侵入性和局部估计中可能具有重大用处。

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