Han Zhaolong, Li Jiasong, Singh Manmohan, Wu Chen, Liu Chih-hao, Wang Shang, Idugboe Rita, Raghunathan Raksha, Sudheendran Narendran, Aglyamov Salavat R, Twa Michael D, Larin Kirill V
Department of Biomedical Engineering, Cullen College of Engineering, University of Houston, 2026 SERC, Houston, TX 77204, USA.
Phys Med Biol. 2015 May 7;60(9):3531-47. doi: 10.1088/0031-9155/60/9/3531. Epub 2015 Apr 10.
We present a systematic analysis of the accuracy of five different methods for extracting the biomechanical properties of soft samples using optical coherence elastography (OCE). OCE is an emerging noninvasive technique, which allows assessment of biomechanical properties of tissues with micrometer spatial resolution. However, in order to accurately extract biomechanical properties from OCE measurements, application of a proper mechanical model is required. In this study, we utilize tissue-mimicking phantoms with controlled elastic properties and investigate the feasibilities of four available methods for reconstructing elasticity (Young's modulus) based on OCE measurements of an air-pulse induced elastic wave. The approaches are based on the shear wave equation (SWE), the surface wave equation (SuWE), Rayleigh-Lamb frequency equation (RLFE), and finite element method (FEM), Elasticity values were compared with uniaxial mechanical testing. The results show that the RLFE and the FEM are more robust in quantitatively assessing elasticity than the other simplified models. This study provides a foundation and reference for reconstructing the biomechanical properties of tissues from OCE data, which is important for the further development of noninvasive elastography methods.
我们对使用光学相干弹性成像(OCE)提取软样本生物力学特性的五种不同方法的准确性进行了系统分析。OCE是一种新兴的非侵入性技术,它能够以微米级空间分辨率评估组织的生物力学特性。然而,为了从OCE测量中准确提取生物力学特性,需要应用合适的力学模型。在本研究中,我们使用具有可控弹性特性的组织模拟体模,并基于空气脉冲诱导弹性波的OCE测量,研究四种可用的弹性(杨氏模量)重建方法的可行性。这些方法基于剪切波方程(SWE)、表面波方程(SuWE)、瑞利 - 兰姆频率方程(RLFE)和有限元方法(FEM),将弹性值与单轴力学测试结果进行比较。结果表明,与其他简化模型相比,RLFE和FEM在定量评估弹性方面更稳健。本研究为从OCE数据重建组织生物力学特性提供了基础和参考,这对于无创弹性成像方法的进一步发展具有重要意义。