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利用与遗传算法相关的超声压痕提取足底组织的力学性能

Extraction of mechanical properties of foot plantar tissues using ultrasound indentation associated with genetic algorithm.

作者信息

Ling Hang-Yin, Choi Pong-Chi, Zheng Yong-ping, Lau Kin-Tak

机构信息

Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, Hong Kong.

出版信息

J Mater Sci Mater Med. 2007 Aug;18(8):1579-86. doi: 10.1007/s10856-007-3025-6. Epub 2007 May 5.

Abstract

This paper demonstrates the use of ultrasound indentation technique for estimating the mechanical properties of foot plantar tissues in virtue of the reconstruction of the force response using genetic algorithm (GA) from an indentation test based on a quasi-linear viscoelastic (QLV) model. The indentation test on the plantar tissues covering the right first metatarsal head of a normal subject was carried out to verify the feasibility of the GA for the extraction of the tissue properties. The QLV properties of the plantar tissues were determined by the GA with a fixed Poisson's ratio. Such results were then compared with those obtained using a classical optimization method. Moreover, the GA was further employed to simultaneously determine the QLV properties as well as the Poisson's ratio of the plantar tissues. The correlations between the QLV properties and the Poisson's ratio are discussed.

摘要

本文展示了超声压痕技术的应用,该技术借助基于准线性粘弹性(QLV)模型的压痕试验,通过遗传算法(GA)重建力响应来估计足底组织的力学性能。对一名正常受试者右第一跖骨头覆盖的足底组织进行压痕试验,以验证GA提取组织特性的可行性。在固定泊松比的情况下,通过GA确定足底组织的QLV特性。然后将这些结果与使用经典优化方法获得的结果进行比较。此外,进一步使用GA同时确定足底组织的QLV特性以及泊松比。讨论了QLV特性与泊松比之间的相关性。

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