An optimal parameter estimation method for soft tissue characterization

Yashar Madjidi, Yongmin Zhong, Bijan Shirinzadeh, Julian Smith

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)

Abstract

This paper presents a gradient-free direct search estimation method by using genetic algorithm to model and predict the elastic stress response of ligament based on quasi-linear viscoelastic (QLV) theory. An improved genetic algorithm is developed to simultaneously fit the ramping and relaxation experimental data to the QLV constitutive equation for obtaining soft tissue parameters in a time-saving process. Experiments and comparison analysis with the existing methods for two exponential and polynomial QLV models are conducted, demonstrating that the proposed method can accurately estimate soft tissue parameters and satisfy the time-saving requirement of intraoperative soft tissue characterization.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010
Pages219-224
Number of pages6
DOIs
Publication statusPublished - 2010
EventIEEE International Conference on Mechatronics and Automation 2010 - Xi'an, China
Duration: 4 Aug 20107 Aug 2010

Conference

ConferenceIEEE International Conference on Mechatronics and Automation 2010
Abbreviated titleICMA 2010
CountryChina
CityXi'an
Period4/08/107/08/10

Cite this

Madjidi, Y., Zhong, Y., Shirinzadeh, B., & Smith, J. (2010). An optimal parameter estimation method for soft tissue characterization. In 2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010 (pp. 219-224). [5589080] https://doi.org/10.1109/ICMA.2010.5589080