P52 ESTIMATING CENTRAL BLOOD PRESSURE FROM MRI DATA USING REDUCED-ORDER COMPUTATIONAL MODELS
P52 ESTIMATING CENTRAL BLOOD PRESSURE FROM MRI DATA USING REDUCED-ORDER COMPUTATIONAL MODELS
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P52 使用降阶计算模型根据 MRI 数据估计中心血压
DOI：
10.1016/j.artres.2018.10.105
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发表时间：
2018
期刊：
影响因子：
0.6
通讯作者：
Alastruey J
中科院分区：
文献类型：
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作者：
Alastruey J
目的中心血压（CBP）是一个比肱动脉压更好的心血管风险指标[1]。然而，金标准CBP测量需要侵入性导管。我们提出了一种方法来估计CBP非侵入性的磁共振成像（MRI）数据加上一个非侵入性的肱动脉压力测量，使用降阶（0-D/1-D）计算模型。我们的目标是：确定最佳模型参数估计方法，并比较用于估计CBP的0-D/1-D模型的性能。这些人群的压力和流量波形用于开发和测试方法：用于估计模型参数。考虑了两种常见的临床情况：当肱动脉压波形可用时;以及当仅收缩压和舒张压可用时。最佳参数估计方法：确定了每种情况下，并使用两个0-D Windkessel模型和1-D主动脉模型。结果进行了比较，有创CBP在后缩窄修复人口（n = 10）。ResultsModel参数最好估计：拟合指数的压力波形，以估计顺应性和流出压力，使用最小二乘法估计脉搏波速度从流量数据，假设特征阻抗是5%的动脉阻力，以及从压力波形的二阶导数估计收缩末期时间。平均脉搏和收缩期CBP误差分别为<5 mmHg和<2 mmHg，respectively.ConclusionsWe已经证明了估计CBP从MRI和肱动脉压的可行性。不同的降阶模型提供了类似的性能，虽然1-D模型再现压力波形形态更准确。
PurposeCentral Blood Pressure (CBP) is a better cardiovascular risk indicator than brachial pressure [1]. However, gold standard CBP measurements require an invasive catheter. We propose an approach to estimate CBP non-invasively from Magnetic Resonance Imaging (MRI) data coupled with a non-invasive brachial pressure measurement, using reduced-order (0-D/1-D) computational models. Our objectives were: identifying optimum model parameter estimation methods and comparing the performance of 0-D/1-D models for estimating CBP.MethodsPopulations of virtual (simulated) healthy subjects were generated based on [2]. Pressure and flow waveforms from these populations were used to develop and test Methods: for estimating model parameters. Two common clinical scenarios were considered: when a brachial pressure waveform is available; and when only systolic and diastolic blood pressures are available. Optimal parameter estimation Methods: were identified for each scenario and used with two 0-D Windkessel models and a 1-D aortic model. Results were compared with invasive CBP in a post-coarctation repair population (n = 10).ResultsModel parameters were best estimated by: fitting an exponential to the pressure waveform to estimate compliance and outflow pressure; using the least-squares method to estimate pulse wave velocity from flow data; assuming characteristic impedance was 5% of arterial resistance; and estimating end-systolic time from the second derivative of the pressure waveform. Average pulse and systolic CBP errors were <5 mmHg and <2 mmHg, respectively.ConclusionsWe have demonstrated the feasibility of estimating CBP from MRI and brachial pressure. Different reduced-order models provided similar performance, although the 1-D model reproduced pressure waveform morphology more accurately.
P56 中心脉压与自适应光学评估的视网膜小动脉壁厚度和壁横截面积相关
DOI：
--
发表时间：
2018
期刊：
影响因子：
--
作者：
A. Gallo;T. Dietenbeck;N. Kachenoura;V. Carreau;M. Pâques;X. Girerd
通讯作者：
X. Girerd