...
首页> 外文期刊>Biomedical Optics Express >Assessing the mechanical properties of tissue-mimicking phantoms at different depths as an approach to measure biomechanical gradient of crystalline lens
【24h】

Assessing the mechanical properties of tissue-mimicking phantoms at different depths as an approach to measure biomechanical gradient of crystalline lens

机译:评估不同深度的模拟组织模型的机械性能,作为测量晶状体生物力学梯度的一种方法

获取原文
           

摘要

We demonstrate the feasibility of using the dominant frequency of the sample surface response to a mechanical stimulation as an effective indicator for sensing the depthwise distribution of elastic properties in transparent layered phantom samples simulating the cortex and nucleus of the crystalline lens. Focused ultrasound waves are used to noninvasively interrogate the sample surface. A phase-sensitive optical coherence tomography system is utilized to capture the surface dynamics over time with nanometer scale sensitivity. Spectral analysis is performed on the sample surface response to ultrasound stimulation and the dominant frequency is calculated under particular loading parameters. Pilot experiments were conducted on homogeneous and layered tissue-mimicking phantoms. Results indicate that the mechanical layers located at different depths introduce different frequencies to the sample surface response, which are correlated with the depth-dependent elasticity of the sample. The duration and the frequency of the ultrasound excitation are also investigated for their influences on this spectrum-based detection. This noninvasive method may be potentially applied for localized and rapid assessment of the depth dependence of the mechanical properties of the crystalline lens.
机译:我们证明了使用样品表面对机械刺激的响应的频率作为一种有效的指标的可行性,该指标可用于检测模拟结晶晶状体的皮层和核的透明层状体模样品中弹性特性的深度分布。聚焦的超声波用于无创地检查样品表面。利用相敏光学相干断层扫描系统以纳米尺度灵敏度随时间捕获表面动力学。对样品表面对超声刺激的响应进行频谱分析,并在特定加载参数下计算主频率。在均质和分层组织模拟体模上进行了试点实验。结果表明,位于不同深度的机械层将不同的频率引入到样品表面响应中,这些频率与样品的深度相关弹性相关。还研究了超声激发的持续时间和频率对这种基于频谱的检测的影响。这种非侵入性方法可以潜在地应用于对晶状体的机械特性的深度依赖性的局部和快速评估。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号