Viscoelastic response (VisR) imaging for assessment of viscoelasticity in Voigt materials.
Viscoelastic response (VisR) imaging for assessment of viscoelasticity in Voigt materials.
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DOI：
10.1109/tuffc.2013.2848
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发表时间：
2013-12
期刊：
影响因子：
--
通讯作者：
Gallippi CM
中科院分区：
文献类型：
--
作者：
Selzo MR;Gallippi CM
粘弹性响应（VisR）成像是一种基于声辐射力（ARF）的弹性成像方法。利用Voigt模型，VisR成像仅从一个或两个连续的ARF脉冲中估计激发ARF区域的位移，以估计恒定应力的松弛时间τσ。在弹性模量为3.92 ~ 15.34 kPa、黏度系数为0.87 ~ 14.06 Pa·s的6种均匀黏弹性组织模拟模型中，双推力VisR τσ估计值与剪切波色散超声测振（SDUV）或监测稳态激励恢复（MSSER）超声的估计值差异无统计学意义（p < 0.02）。在二维成像中，双推力VisR τσ图像比单推力VisR或传统的声辐射力脉冲（ARFI）超声在更大的轴向范围内具有更高的CNR，从而在结构体中识别出粘性球形包涵体。最后，将正常犬半腱肌的二维体内双推VisR图像与空间匹配的组织化学进行比较，证实高度胶原结缔组织的双推VisR τσ值低于肌肉，这表明双推VisR与诊断成像的体内相关性，特别是在肌肉中。讨论了VisR的主要优点和缺点，包括对惯性项缺乏补偿。
Viscoelastic response (VisR) imaging is presented as a new acoustic radiation force (ARF)-based elastographic imaging method. Exploiting the Voigt model, VisR imaging estimates displacement in only the ARF region of excitation from one or two successive ARF impulses to estimate τσ, the relaxation time for constant stress. Double-push VisR τσ estimates were not statistically significantly different (p < 0.02) from those of shearwave dispersion ultrasound vibrometry (SDUV) or monitored steady-state excitation recovery (MSSER) ultrasound in six homogeneous viscoelastic tissue mimicking phantoms with elastic moduli ranging from 3.92 to 15.34 kPa and coefficients of viscosity ranging from 0.87 to 14.06 Pa·s. In two-dimensional imaging, double-push VisR τσ images discriminated a viscous spherical inclusion in a structured phantom with higher CNR over a larger axial range than single-push VisR or conventional acoustic radiation force impulse (ARFI) ultrasound. Finally, 2-D in vivo double-push VisR images in normal canine semitendinosus muscle were compared with spatially matched histochemistry to corroborate lower double-push VisR τσ values in highly collagenated connective tissue than in muscle, suggesting double-push VisR’s in vivo relevance to diagnostic imaging, particularly in muscle. The key advantages and disadvantages to VisR, including lack of compensation for inertial terms, are discussed.