Validation of Material Algorithms for Femur Remodelling Using Medical Image Data
Joint Authors
Shang, Yu
Luo, Shitong
Shen, Xingquan
Bai, Xin
Bai, Jing
Han, Jianning
Source
Applied Bionics and Biomechanics
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The aim of this study is the utilization of human medical CT images to quantitatively evaluate two sorts of “error-driven” material algorithms, that is, the isotropic and orthotropic algorithms, for bone remodelling.
The bone remodelling simulations were implemented by a combination of the finite element (FE) method and the material algorithms, in which the bone material properties and element axes are determined by both loading amplitudes and daily cycles with different weight factor.
The simulation results showed that both algorithms produced realistic distribution in bone amount, when compared with the standard from CT data.
Moreover, the simulated L-T ratios (the ratio of longitude modulus to transverse modulus) by the orthotropic algorithm were close to the reported results.
This study suggests a role for “error-driven” algorithm in bone material prediction in abnormal mechanical environment and holds promise for optimizing implant design as well as developing countermeasures against bone loss due to weightlessness.
Furthermore, the quantified methods used in this study can enhance bone remodelling model by optimizing model parameters to gap the discrepancy between the simulation and real data.
American Psychological Association (APA)
Luo, Shitong& Shen, Xingquan& Bai, Xin& Bai, Jing& Han, Jianning& Shang, Yu. 2017. Validation of Material Algorithms for Femur Remodelling Using Medical Image Data. Applied Bionics and Biomechanics،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1121083
Modern Language Association (MLA)
Luo, Shitong…[et al.]. Validation of Material Algorithms for Femur Remodelling Using Medical Image Data. Applied Bionics and Biomechanics No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1121083
American Medical Association (AMA)
Luo, Shitong& Shen, Xingquan& Bai, Xin& Bai, Jing& Han, Jianning& Shang, Yu. Validation of Material Algorithms for Femur Remodelling Using Medical Image Data. Applied Bionics and Biomechanics. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1121083
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121083