首页> 外文会议>European Symposium on Ultrasonic Characterization of Bone >A genetic algorithms-based optimization method for estimating thickness and porosity of cortical bone from guided wave measurements
【24h】

A genetic algorithms-based optimization method for estimating thickness and porosity of cortical bone from guided wave measurements

机译:一种基于遗传算法的优化方法,用于从引导波测量估算皮质骨厚度和孔隙率

获取原文

摘要

A step forward towards ultrasonic characterization of cortical bone has been recently reached by showing that cortical bone behaves as a waveguide for ultrasound. Measurements of the guided modes dispersion relations, along with appropriate waveguide modeling, have the potential for inferring strength-related factors such as stiffness (determined by cortical porosity) and cortical thickness. Current estimation methods rely on a number of assumptions for pairing the incomplete experimental data with the theoretical Lamb branches (e.g., initial guess on the model parameters, assignment of the data to experimental trajectories, exhaustive search, fixed number of theoretical branches, etc.). The present work introduces an efficient optimization method that strongly reduces those prior assumptions.
机译:最近达到了皮质骨的超声波表征的前进,通过表示皮质骨作为超声波的波导。导向模式分散关系的测量以及适当的波导建模具有推断强度相关因素的可能性,例如刚度(通过皮质孔隙率确定)和皮质厚度。当前估计方法依赖于将不完整的实验数据与理论leamb分支配对的许多假设(例如,在模型参数上的初始猜测,数据分配给实验轨迹,详尽的搜索,固定数量的理论分支等) 。目前的工作介绍了一种有效的优化方法,强调了那些先前的假设。

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