SciELO - Scientific Electronic Library Online

 
vol.8 issue16Time-Frequency Energy Features for Articulator Position Inference on Stop Consonants author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Ingeniería y Ciencia

Print version ISSN 1794-9165

Abstract

MESA-MUNERA, Elizabeth; RAMIREZ-SALAZAR, Juan F; BOULANGER, Pierre  and  BRANCH, John W. Inverse-FEM Characterization of a Brain Tissue Phantom to Simulate Compression and Indentation. ing.cienc. [online]. 2012, vol.8, n.16, pp.11-36. ISSN 1794-9165.

The realistic simulation of tool-tissue interactions is necessary for the development of surgical simulators and one of the key element for it realism is accurate bio-mechanical tissue models. In this paper, we determined the mechanical properties of soft tissue by minimizing the difference between experimental measurements and the analytical or simulated solution of the deformation. Then, we selected the best model parameters that fit the experimental data to simulate a bonded compression and a needle indentation with a flat-tip. We show that the inverse FEM allows accurate material property estimation. We also validated our results using multiple tool-tissue interactions over the same specimen.

Keywords : Inverse FEM; Compression Test; Indentation; Tissue Calibration; Surgical Simulators.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )