Estimation of mechanical properties of soft tissue subjected to dynamic impact

  • Mohamed Amar Department of mechanical and material Engineering. University of Nebraska–Lincoln
  • Khaled ali Alkhaledi Kuwait university
  • David Cochran professor of Industrial and Management Systems Engineering. University of Nebraska-Lincoln
Keywords: Dampening, green’s function, pendulum, soft tissue

Abstract

Human soft tissue is highly deformable leading to a difficulty in estimating itsmechanical properties. This paper focuses on the extraction of human tissue dampeningproperties under dynamic impact, which enabled an efficient implementation ofmechanical response of tissue, which is of growing interest and importance inbiomedical research and forensic science. Such properties are not only useful forrealistic surgical simulation, preoperative planning, and robot-assisted medicalprocedures, but also may be useful in deriving impact characteristics necessary tocause contusions for forensics purposes. The estimates of the damping propertiesof human soft tissue was done by using spring and damper system as a model; massdamper-spring (MDS). Spring stiffness is represented by the spring constant K anddashpot damping resistance is represented by the damper constant C. Data werecollected by striking human subjects with a weighted pendulum at different levelsof energy, velocity, and mass. The estimation process involved conditioning the data,such that the modeling process and estimation were feasible, resulting in estimates ofK and C. In conclusion, using impact data collected on living human tissue to estimatethe dampening properties is plausible. The results showed that both the stiffness andthe dampening resistance are highly correlated with the mass of the striking object, itsenergy and velocity. Hence, knowledge of these properties may be used in determiningthe impact parameters required by a striking object, which might be helpful in forensicinvestigation when contusions were induced.

References

Alkhaledi, K. 2010. Human Response to Soft Tissue Impact, PhD Dissertation. University of Nebraska-

Lincoln, USA.

Chen, E.J., Novakofski, J., Jenkins, W.K., and O’Brien, W.D., Jr. 1996. “Young’s modulus

measurements of soft tissues with application to elasticity imaging,” IEEE Trans. Ultrasonics,

Ferroelec., Freq. Control, vol. 43, no. 1, pp. 191–194.

Daly, C. H. 1982. Biomechanical properties of dermis. The Journal of Investigative Dermatology:

:17s–20s.

Finlay, B. 1969. Scanning electron microscopy of the human dermis under uni-axial strain. Bio-medical

Engineering: 4:322–327.

Fujii, Y. 2005. Method for evaluating mechanical response of human skin against micro impact force.

Journal of Physics: Conference series 13: 434-437.

Desmoulin, G. T. and Anderson, G. S. 2011. Method to Investigate Contusion Mechanics in Living

Humans. J Forensic Biomech, 2, 1-10.

Ji, T. and Bell, A. 2008. Seeing and Touching Structural Concepts. Taylor & Francis.

Kerdok A. E. 2006. ”Characterizing the nonlinear mechanical response of liver to surgical manipulation,”

Dissertation for Degree of Doctor of Philosophy, Harvard University, Massachusetts.

Nedel, L. P. and Thalmann, D. 1998. Real Time Muscle Deformation using Mass-Spring Systems,

Computer Graphics International 1998, pp. 156-165, Hannover (1998).

Manschot, J. F. M. 1985. The mechanical properties of human skin in vivo. Ph.D. thesis, Catholic

University of Nijmegen.

Maurel, W., Wu, Y., Magnenat Thalmann, N., Thalmann, D. 1998. Biomechanical Models for Soft

Tissue Simulation. Springer.

Miller, K. 2001. “How to test very soft biological tissues in extension,” J. Biomech., vol. 34, pp. 651–

Otamendi, G. 2011. “Designing deformable models of soft tissue for virtual surgery planning and

simulation using the Mass-Spring Model,” Dissertation for Degree of Doctor of Philosophy.

University of Navarra.

Wiley, M. 2007. Impact to the deltoid. Master’s thesis, University of Nebraska-Lincoln.

Yeh, W., Jeng, Y., Hsu, H., Kuo, P., Li, M., Yang, P., Lee, P., and Li, P. 2001. “Young’s modulus

measurements of human liver and correlation with pathological findings,” in Proc. IEEE Ultrasonic

Symp., vol. 2, pp. 1233–1236.

Published
2014-12-16