4.3 Article

Experimental and numerical analysis of soft tissue stiffness measurement using manual indentation device - significance of indentation geometry and soft tissue thickness

期刊

SKIN RESEARCH AND TECHNOLOGY
卷 20, 期 3, 页码 347-354

出版社

WILEY-BLACKWELL
DOI: 10.1111/srt.12125

关键词

soft tissue; skin; adipose tissue; muscle; finite element analysis; indentation; sensitivity; tissue volume

资金

  1. Finnish Funding Agency for Technology and Innovation (TEKES) [70011/09]
  2. North Savo Regional fund of Finnish Cultural Foundation
  3. Northern Savo Hospital District (EVO - special state subsidy)
  4. Doctoral Programme in Medical Physics and Engineering of University of Eastern Finland
  5. Kuopio University Foundation
  6. Foundation for Advanced Technology of Eastern Finland
  7. Academy of Finland [218038]
  8. Oy LabVision Technologies Ltd (Lappeenranta, Finland)
  9. University of Eastern Finland
  10. Academy of Finland (AKA) [218038, 218038] Funding Source: Academy of Finland (AKA)

向作者/读者索取更多资源

Background: Indentation techniques haves been applied to measure stiffness of human soft tissues. Tissue properties and geometry of the indentation instrument control the measured response. Methods: Mechanical roles of different soft tissues were characterized to understand the performance of the indentation instrument. An optimal instrument design was investigated. Experimental indentations in forearm of human subjects (N = 11) were conducted. Based on peripheral quantitative computed tomography imaging, a finite element (FE) model for indentation was created. The model response was matched with the experimental data. Results: Optimized values for the elastic modulus of skin and adipose tissue were 130.2 and 2.5 kPa, respectively. The simulated indentation response was 3.9 +/- 1.2 (mean +/- SD) and 4.9 +/- 2.0 times more sensitive to changes in the elastic modulus of the skin than to changes in the elastic modulus of adipose tissue and muscle, respectively. Skin thickness affected sensitivity of the instrument to detect changes in stiffness of the underlying tissues. Conclusion: Finite element modeling provides a feasible method to quantitatively evaluate the geometrical aspects and the sensitivity of an indentation measurement device. Systematically, the skin predominantly controlled the indentation response regardless of the indenter geometry or variations in the volume of different soft tissues.

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