Literature DB >> 10327007

Constitutive model of brain tissue suitable for finite element analysis of surgical procedures.

K Miller1.   

Abstract

Realistic finite element modelling and simulation of neurosurgical procedures present a formidable challenge. Appropriate, finite deformation, constitutive model of brain tissue is a prerequisite for such development. In this paper, a large deformation, linear, viscoelastic model, suitable for direct use with commercially available finite element software packages such as ABAQUS is constructed. The proposed constitutive equation is of polynomial form with time-dependent coefficients. The model requires four material constants to be identified. The material constants were evaluated based on unconfined compression experiment results. The analytical as well as numerical solutions to the unconfined compression problem are presented. The agreement between the proposed theoretical model and the experiment is good for compression levels reaching 30% and for loading velocities varying over five orders of magnitude. The numerical solution using the finite element method matched the analytical solution very closely.

Mesh:

Year:  1999        PMID: 10327007     DOI: 10.1016/s0021-9290(99)00010-x

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


  30 in total

1.  A fast and efficient method to compensate for brain shift for tumor resection therapies measured between preoperative and postoperative tomograms.

Authors:  Prashanth Dumpuri; Reid C Thompson; Aize Cao; Siyi Ding; Ishita Garg; Benoit M Dawant; Michael I Miga
Journal:  IEEE Trans Biomed Eng       Date:  2010-02-17       Impact factor: 4.538

2.  A method to track cortical surface deformations using a laser range scanner.

Authors:  Tuhin K Sinha; Benoit M Dawant; Valerie Duay; David M Cash; Robert J Weil; Reid C Thompson; Kyle D Weaver; Michael I Miga
Journal:  IEEE Trans Med Imaging       Date:  2005-06       Impact factor: 10.048

3.  An atlas-based method to compensate for brain shift: preliminary results.

Authors:  Prashanth Dumpuri; Reid C Thompson; Benoit M Dawant; A Cao; Michael I Miga
Journal:  Med Image Anal       Date:  2007-03-01       Impact factor: 8.545

4.  Magnetic resonance elastography of the brain.

Authors:  Scott A Kruse; Gregory H Rose; Kevin J Glaser; Armando Manduca; Joel P Felmlee; Clifford R Jack; Richard L Ehman
Journal:  Neuroimage       Date:  2007-08-29       Impact factor: 6.556

5.  On the unimportance of constitutive models in computing brain deformation for image-guided surgery.

Authors:  Adam Wittek; Trent Hawkins; Karol Miller
Journal:  Biomech Model Mechanobiol       Date:  2008-02-02

6.  Connecting fractional anisotropy from medical images with mechanical anisotropy of a hyperviscoelastic fibre-reinforced constitutive model for brain tissue.

Authors:  Chiara Giordano; Svein Kleiven
Journal:  J R Soc Interface       Date:  2013-11-20       Impact factor: 4.118

7.  Evaluation of conoscopic holography for estimating tumor resection cavities in model-based image-guided neurosurgery.

Authors:  Amber L Simpson; Kay Sun; Thomas S Pheiffer; D Caleb Rucker; Allen K Sills; Reid C Thompson; Michael I Miga
Journal:  IEEE Trans Biomed Eng       Date:  2014-06       Impact factor: 4.538

8.  Is the Donnan effect sufficient to explain swelling in brain tissue slices?

Authors:  Georgina E Lang; Peter S Stewart; Dominic Vella; Sarah L Waters; Alain Goriely
Journal:  J R Soc Interface       Date:  2014-04-23       Impact factor: 4.118

9.  Long-term changes in the material properties of brain tissue at the implant-tissue interface.

Authors:  Arati Sridharan; Subramaniam D Rajan; Jit Muthuswamy
Journal:  J Neural Eng       Date:  2013-10-08       Impact factor: 5.379

10.  Estimating zero-strain states of very soft tissue under gravity loading using digital image correlation.

Authors:  Zhan Gao; Jaydev P Desai
Journal:  Med Image Anal       Date:  2009-11-14       Impact factor: 8.545

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.