• DocumentCode
    2964016
  • Title

    Comparison of two linear models for estimating brain deformation during surgery using finite element method

  • Author

    Hamidian, Hajar ; Soltanian-Zadeh, Hamid ; Faraji-Dana, Reza ; Gity, Masoumeh

  • Author_Institution
    Control & Intell. Process. Center of Excellence (CIPCE), Univ. of Tehran, Tehran
  • fYear
    2008
  • fDate
    1-8 June 2008
  • Firstpage
    4089
  • Lastpage
    4094
  • Abstract
    This paper presents finite element computation of brain deformation during craniotomy. Two mechanical models are compared for this purpose: linear solid-mechanic model and linear elastic model. Both models assume finite deformation of the brain after opening the skull. We use a test sphere as a model of the brain, tetrahedral finite element mesh, and function optimization that optimizes the modelspsila parameters by minimizing the distance between the resulting deformation and the supposed deformation. Based on the final value of the objective function, we conclude that the accuracy of the solid mechanic model is higher than that of the elastic model. Applications of the methods to the MR images of the brain confirm this finding.
  • Keywords
    biomechanics; brain; mesh generation; optimisation; surgery; brain deformation estimation; craniotomy; finite element method; function optimization; linear elastic model; linear solid-mechanic model; mechanical models; surgery; tetrahedral finite element mesh; Biomedical imaging; Brain modeling; Capacitive sensors; Deformable models; Finite element methods; Optimization methods; Partial differential equations; Skull; Solid modeling; Surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4634386
  • Filename
    4634386