Full waveform inversion for arterial viscoelasticity.
Full waveform inversion for arterial viscoelasticity.
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DOI：
10.1088/1361-6560/acba7a
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发表时间：
2023-02-23
影响因子：
3.5
通讯作者：
中科院分区：
文献类型：
--
作者：
除了广泛使用的动脉弹性外，动脉粘度正在成为一种额外的生物标志物。在本文中，我们提出了一种定量估计方法动脉粘弹性剪切波弹性成像。虽然色散特性通常用于估计弹性，但它们对粘度变化不太敏感。在此驱动下，我们开发了一种全波形反演方法，通过在空间和时间上匹配预测和测量的壁速度，同时估计弹性和粘度。具体来说，我们提出了一个目标函数的基础上的动脉前壁的测量和预测的反应之间的相关性。目标函数表现良好（凸），导致我们使用梯度优化来反演动脉壁的弹性和粘度。由此产生的方法进行了验证与噪声污染的合成数据，从而得出的结论，建议的全波形反演是有效的粘弹性反演的动脉。除了弹性之外，准确估计动脉粘度将更精确地表征机械特性，可能导致动脉健康的更好指标。
Arterial viscosity is emerging as an additional biomarker, in addition to widely used arterial elasticity. In this paper, we propose a quantitative estimation approach for arterial viscoelasticity using shear wave elastography. While dispersion characteristics are often used to estimate elasticity, they are not very sensitive to viscosity changes. Driven by this, we develop a full waveform inversion approach to simultaneously estimate both elasticity and viscosity, by matching predicted and measured wall velocity in space and time. Specifically, we propose an objective function based on the correlation between measured and predicted responses of the anterior wall of the artery. The objective function is shown to be well-behaving (convex), leading us to use gradient optimization to invert for both elasticity and viscosity of the arterial wall. The resulting methodology is verified with synthetic data polluted with noise, leading to the conclusion that the proposed full waveform inversion is effective in the viscoelastic inversion of the arteries. Accurately estimating arterial viscosity, in addition to elasticity, would characterize the mechanical properties more precisely, potentially leading to a better indicator of arterial health.
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影响因子：
3.5
作者：
Dutta P;Urban MW;Le Maître OP;Greenleaf JF;Aquino W
通讯作者：
Aquino W
DOI：
10.1109/tuffc.2016.2634329
发表时间：
2017-03-01
影响因子：
3.6
作者：
Bernard, Simon;Kazemirad, Siavash;Cloutier, Guy
通讯作者：
Cloutier, Guy
影响因子：
2.9
作者：
Maksuti, Elira;Widman, Erik;Bjallmark, Anna
通讯作者：
Bjallmark, Anna
影响因子：
2.4
作者：
Bernal, Miguel;Nenadic, Ivan;Greenleaf, James F.
通讯作者：
Greenleaf, James F.
DOI：
10.1109/t-su.1985.31615
发表时间：
1985-01-01
期刊：
IEEE TRANSACTIONS ON SONICS AND ULTRASONICS
影响因子：
--
作者：
KASAI, C;NAMEKAWA, K;OMOTO, R
通讯作者：
OMOTO, R