Literature DB >> 10940395

Mechanical properties of brain tissue in-vivo: experiment and computer simulation.

K Miller1, K Chinzei, G Orssengo, P Bednarz.   

Abstract

Realistic computer simulation of neurosurgical procedures requires incorporation of the mechanical properties of brain tissue in the mathematical model. Possible applications of computer simulation of neurosurgery include non-rigid registration, virtual reality training and operation planning systems and robotic devices to perform minimally invasive brain surgery. A number of constitutive models of brain tissue, both single-phase and bi-phasic, have been proposed in recent years. The major deficiency of most of them, however, is the fact that they were identified using experimental data obtained in vitro and there is no certainty whether they can be applied in the realistic in vivo setting. In this paper we attempt to show that previously proposed by us hyper-viscoelastic constitutive model of brain tissue can be applied to simulating surgical procedures. An in vivo indentation experiment is described. The force-displacement curve for the loading speed typical for surgical procedures is concave upward containing no linear portion from which a meaningful elastic modulus might be determined. In order to properly analyse experimental data, a three-dimensional, non-linear finite element model of the brain was developed. Magnetic resonance imaging techniques were used to obtain geometric information needed for the model. The shape of the force-displacement curve obtained using the numerical solution was very similar to the experimental one. The predicted forces were about 31% lower than those recorded during the experiment. Having in mind that the coefficients in the model had been identified based on experimental data obtained in vitro, and large variability of mechanical properties of biological tissues, such agreement can be considered as very good. By appropriately increasing material parameters describing instantaneous stiffness of the tissue one is able, without changing the structure of the model, to reproduce experimental curve almost perfectly. Numerical studies showed also that the linear, viscoelastic model of brain tissue is not appropriate for the modelling brain tissue deformation even for moderate strains.

Mesh:

Year:  2000        PMID: 10940395     DOI: 10.1016/s0021-9290(00)00120-2

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  83 in total

1.  Tissue characteristics during temporal summation of pressure-evoked pain.

Authors:  Sara Finocchietti; Lars Arendt-Nielsen; Thomas Graven-Nielsen
Journal:  Exp Brain Res       Date:  2012-04-05       Impact factor: 1.972

2.  Real-time simulation of the nonlinear visco-elastic deformations of soft tissues.

Authors:  Ehsan Basafa; Farzam Farahmand
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-07-07       Impact factor: 2.924

3.  Real-Time Nonlinear Finite Element Computations on GPU - Application to Neurosurgical Simulation.

Authors:  Grand Roman Joldes; Adam Wittek; Karol Miller
Journal:  Comput Methods Appl Mech Eng       Date:  2010-12-15       Impact factor: 6.756

4.  Development of in vivo constitutive models for liver: application to surgical simulation.

Authors:  Kevin Lister; Zhan Gao; Jaydev P Desai
Journal:  Ann Biomed Eng       Date:  2010-12-16       Impact factor: 3.934

5.  Patient-specific non-linear finite element modelling for predicting soft organ deformation in real-time: application to non-rigid neuroimage registration.

Authors:  Adam Wittek; Grand Joldes; Mathieu Couton; Simon K Warfield; Karol Miller
Journal:  Prog Biophys Mol Biol       Date:  2010-09-22       Impact factor: 3.667

6.  Three-dimensional macroporous nanoelectronic networks as minimally invasive brain probes.

Authors:  Chong Xie; Jia Liu; Tian-Ming Fu; Xiaochuan Dai; Wei Zhou; Charles M Lieber
Journal:  Nat Mater       Date:  2015-10-05       Impact factor: 43.841

7.  Hand-tool-tissue interaction forces in neurosurgery for haptic rendering.

Authors:  Marco Aggravi; Elena De Momi; Francesco DiMeco; Francesco Cardinale; Giuseppe Casaceli; Marco Riva; Giancarlo Ferrigno; Domenico Prattichizzo
Journal:  Med Biol Eng Comput       Date:  2015-12-31       Impact factor: 2.602

8.  Mechanical properties of porcine brain tissue in vivo and ex vivo estimated by MR elastography.

Authors:  Charlotte A Guertler; Ruth J Okamoto; John L Schmidt; Andrew A Badachhape; Curtis L Johnson; Philip V Bayly
Journal:  J Biomech       Date:  2018-01-31       Impact factor: 2.712

9.  Characterizing white matter tissue in large strain via asymmetric indentation and inverse finite element modeling.

Authors:  Yuan Feng; Chung-Hao Lee; Lining Sun; Songbai Ji; Xuefeng Zhao
Journal:  J Mech Behav Biomed Mater       Date:  2016-09-16

Review 10.  Engineering the CNS stem cell microenvironment.

Authors:  Cicely A Williams; Erin B Lavik
Journal:  Regen Med       Date:  2009-11       Impact factor: 3.806

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.