Noninvasive Vascular Modulography Method for Imaging the Local Elasticity of Atherosclerotic Plaques: Simulation and In Vitro Vessel Phantom Study
Noninvasive Vascular Modulography Method for Imaging the Local Elasticity of Atherosclerotic Plaques: Simulation and In Vitro Vessel Phantom Study
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用于动脉粥样硬化斑块局部弹性成像的无创血管调制成像方法：模拟和体外血管模型研究
DOI：
10.1109/tuffc.2017.2757763
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
G. Cloutier
中科院分区：
文献类型：
--
作者：
J. Porée;Boris Chayer;G. Soulez;J. Ohayon;G. Cloutier
颈动脉粥样硬化病变的力学和形态学特征仍然是评价易破裂斑块和预防卒中的重要步骤。在本文中，我们提出了一种非侵入性血管成像modulography（NIV-iMod）的方法，这是能够重建的Von Mises应变弹性图的颈动脉斑块的非均匀杨氏模量分布。使用拉格朗日散斑模型估计器和动态分割优化程序来突出机械不均匀性，使用非侵入性超声图像计算弹性图。这种方法，连续介质力学的基础上，<italic>在硅与</italic>有限元模型应变场和超声模拟，并<italic>在体外</italic>与聚乙烯醇冻凝胶phantomy的基础上磁共振成像几何形状的颈动脉斑块。<italic>NiV-iMod</italic>方法成功地检测和定量了坏死核心包涵体，阳性预测值（PPV）和灵敏度（SV）分别为81±10%和91±6%; 2）定量的坏死核心、纤维组织和钙夹杂物的杨氏模量，平均值为32±23，515±30，和3160±218 kPa（地面真值分别为10、600和5000 kPa）; 3）高估了盖层厚度<inline-formula><tex-math notation="LaTeX">172 μ m</tex-math></inline-formula>。<italic>在体外</italic>，检测软内含物的PPV和SV分别为60±21%和88± 9%，模拟脂质、纤维化和钙的杨氏模量平均值分别为34±19、193±14和649±118 kPa（真实基础值分别为25±3、182±21和757±87 kPa）。
Mechanical and morphological characterization of atherosclerotic lesions in carotid arteries remains an essential step for the evaluation of rupture prone plaques and the prevention of strokes. In this paper, we propose a noninvasive vascular imaging modulography (NIV-iMod) method, which is capable of reconstructing a heterogeneous Young’s modulus distribution of a carotid plaque from the Von Mises strain elastogram. Elastograms were computed with noninvasive ultrasound images using the Lagrangian speckle model estimator and a dynamic segmentation-optimization procedure to highlight mechanical heterogeneities. This methodology, based on continuum mechanics, was validated <italic>in silico</italic> with finite-element model strain fields and ultrasound simulations, and <italic>in vitro</italic> with polyvinyl alcohol cryogel phantoms based on magnetic resonance imaging geometries of carotid plaques. <italic>In silico</italic>, our results show that the NiV-iMod method: 1) successfully detected and quantified necrotic core inclusions with high positive predictive value (PPV) and sensitivity value (SV) of 81±10% and 91±6%; 2) quantified Young’s moduli of necrotic cores, fibrous tissues, and calcium inclusions with mean values of 32±23, 515±30, and 3160±218 kPa (ground true values are 10, 600, and 5000 kPa); and 3) overestimated the cap thickness by <inline-formula> <tex-math notation="LaTeX">$\sim 172~\mu \text{m}$ </tex-math></inline-formula>. <italic>In vitro</italic>, the PPV and SV for detecting soft inclusions were 60±21% and 88±9%, and Young’s modulus mean values of mimicking lipid, fibrosis, and calcium were 34±19, 193±14, and 649±118 kPa (ground true values are 25±3, 182±21, and 757±87 kPa).
影响因子：
20.1
作者：
LOREE, HM;KAMM, RD;LEE, RT
通讯作者：
LEE, RT
影响因子：
8.7
作者：
Virmani, R;Kolodgie, FD;Schwartz, SM
通讯作者：
Schwartz, SM