Experimental verification of brain tissue incompressibility using digital image correlation

Libertiaux, V.; Pascon, F.; Cescotto, S.

Affiliations

¹Dpt ArGEnCo, University of Liege, Bat. B52, 1 Chemin des Chevreuils, 4000 Liege, Belgium

Abstract and keywords

For decades, incompressibility has been a major assumption in the mechanical study of brain tissue. This assumption is based on the hydrated nature of the biological tissues and the incompressibility of fluids. In this paper, an experimental validation of this assumption using digital image correlation is presented. Unconfined compression tests, relaxation tests and cyclic tests were performed on cylindrical samples of swine brains at loading rates suitable for neurosurgical applications. Digital image correlation was used to evaluate the evolution of the volume ratio throughout the tests. The preparation of the samples is described and it is demonstrated that it causes no statistically significant change of their mechanical properties. The results indicate that the brain tissue incompressibility assumption is verified.

Keywords: Brain tissue; Digital image correlation; Incompressibility; Compression tests; Relaxation tests; Cyclic tests

Links

DOI: 10.1016/j.jmbbm.2011.03.028

PubMed: 21783126

WoS: 000294187500026

History

Received: 2010-08-24

Revised: 2011-03-23

Accepted: 2011-03-29

Online: 2011-04-8

Cited Works (9)

Year	Entry
2010	Brunon A, Bruyere-Garnier K, Coret M. Mechanical characterization of liver capsule through uniaxial quasi-static tensile tests until failure. J Biomech. August 10, 2010;43(11):2221-2227.
2002	Prange MT, Margulies SS. Regional, directional, and age-dependent properties of the brain undergoing large deformation. J Biomech Eng. 2002;124(2):244-252.
1999	Miller K. Constitutive model of brain tissue suitable for finite element analysis of surgical procedures. J Biomech. May 1999;32(5):531-537.
1997	Miller K, Chinzei K. Constitutive modelling of brain tissue: experiment and theory. J Biomech. 1997;30(11-12):1115-1121.
2002	Miller K, Chinzei K. Mechanical properties of brain tissue in tension. J Biomech. April 2002;35(4):483-490.
2006	Velardi F, Fraternali F, Angelillo M. Anisotropic constitutive equations and experimental tensile behavior of brain tissue. Biomech Model Mechanobiol. March 2006;5(1):53-61.
2007	Garo A, Hrapko M, van Dommelen JAW, Peters GWM. Towards a reliable characterisation of the mechanical behaviour of brain tissue: the effects of post-mortem time and sample preparation. Biorheology. 2007;44(1):51-58.
2010	Sztefek P, Vanleene M, Olsson R, Collinson R, Pitsillides AA, Shefelbine S. Using digital image correlation to determine bone surface strains during loading and after adaptation of the mouse tibia. J Biomech. March 3, 2010;43(4):599-605.
2001	Darvish KK, Crandall JR. Nonlinear viscoelastic effects in oscillatory shear deformation of brain tissue. Med Eng Phys. 2001;23(9):633-645.

Cited By (4)

Year	Entry
2016	Palanca M, Tozzi G, Cristofolini L. The use of digital image correlation in the biomechanical area: a review. Int Biomech. 2016;3(1):1-21.
2020	Sebastian KM. Defining the Mechanical Characteristics of Porcine Brain Tissue Subject to Cyclic, Compressive Loading [Master's thesis]. Mississippi State University; May 2020.
2017	Palanca M. In Vitro Full-Field Methods for the Biomechanical Characterization of Spine Segments [PhD thesis]. University of Bologna; March 2017.
2020	Giudice JS. Personalized Finite Element Modeling of the Brain: Understanding Subject-Specific Deformation Patterns [PhD thesis]. Charlottesville, VA: University of Virginia; December 2020.