Nondestructive characterization of bone tissue scaffolds for clinical scenarios

Ali Entezari, Zhongpu Zhang, Andrian Sue, Guangyong Sun, Xintao Huo, Che-Cheng Chang, Shiwei Zhou, Michael V. Swain, Qing Li

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

Objectives: This study aimed to develop a simple and efficient numerical modeling approach for characterizing strain and total strain energy in bone scaffolds implanted in patient-specific anatomical sites. Materials and methods: A simplified homogenization technique was developed to substitute a detailed scaffold model with the same size and equivalent orthotropic material properties. The effectiveness of the proposed modeling approach was compared with two other common homogenization methods based on periodic boundary conditions and the Hills-energy theorem. Moreover, experimental digital image correlation (DIC) measurements of full-field surface strain were conducted to validate the numerical results. Results: The newly proposed simplified homogenization approach allowed for fairly accurate prediction of strain and total strain energy in tissue scaffolds implanted in a large femur mid-shaft bone defect subjected to a simulated in-vivo loading condition. The maximum discrepancy between the total strain energy obtained from the simplified homogenization approach and the one obtained from detailed porous scaffolds was 8.8%. Moreover, the proposed modeling technique could significantly reduce the computational cost (by about 300 times) required for simulating an in-vivo bone scaffolding scenario as the required degrees of freedom (DoF) was reduced from about 26 million for a detailed porous scaffold to only 90,000 for the homogenized solid counterpart in the analysis. Conclusions: The simplified homogenization approach has been validated by correlation with the experimental DIC measurements. It is fairly efficient and comparable with some other common homogenization techniques in terms of accuracy. The proposed method is implicating to different clinical applications, such as the optimal selection of patient-specific fixation plates and screw system.
Original languageEnglish
Pages (from-to)150-161
Number of pages12
JournalJournal of The Mechanical Behavior of Biomedical Materials
Volume89
DOIs
Publication statusPublished - 2019

Keywords

  • digital image correlation
  • orthopedics
  • tissue scaffolds

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