Dargar Saurabh, Akyildiz Ali C, De Suvranu
IEEE Trans Biomed Eng. 2017 Nov;64(11):2595-2606. doi: 10.1109/TBME.2016.2644651. Epub 2016 Dec 23.
In this paper, we report the development of a technique to characterize layer-specific nonlinear material properties of soft tissue in situ with the potential for in vivo testing. A soft tissue elastography robotic arm system comprising of a robotically manipulated 30 MHz high-resolution ultrasound probe, a custom designed compression head, and load cells has been developed to perform compression ultrasound imaging on the target tissue and measure reaction forces. A multilayer finite element model is iteratively optimized to identify the material coefficients of each layer. Validation has been performed using tissue mimicking agar-based phantoms with a low relative error of ∼7% for two-layer phantoms and ∼10% error for three layer phantoms when compared to known ground-truth values obtained using a commercial material testing system. The technique has then been used to successfully determine the in situ layer-specific mechanical properties of intact porcine stomach. The mean C and C for a second-order reduced polynomial material model were determined for the muscularis (6.41 ± 0.60, 4.29 ± 1.87 kPa), submucosal (5.21 ± 0.57, 3.68 ± 3.01 kPa), and mucosal layers (0.06 ± 0.02, 0.09 ± 0.24 kPa). Such a system can be utilized to perform in vivo mechanical characterization, which is left as future work.
在本文中,我们报告了一种技术的开发情况,该技术可在原位表征软组织的层特异性非线性材料特性,并具有进行体内测试的潜力。已开发出一种软组织弹性成像机器人手臂系统,该系统由一个通过机器人操作的30兆赫高分辨率超声探头、一个定制设计的压缩头和称重传感器组成,用于对目标组织进行压缩超声成像并测量反作用力。通过迭代优化一个多层有限元模型来确定各层的材料系数。使用基于琼脂的组织模拟体模进行了验证,与使用商业材料测试系统获得的已知真实值相比,两层体模的相对误差约为7%,三层体模的误差约为10%。然后,该技术已成功用于确定完整猪胃的原位层特异性力学特性。对于二阶简化多项式材料模型,确定了肌层(6.41±0.60,4.29±1.87千帕)、黏膜下层(5.21±0.57,3.68±3.01千帕)和黏膜层(0.06±0.02,0.09±0.24千帕)的平均C和C。这样的系统可用于进行体内力学表征,这留作未来的工作。