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Mathematical modeling and computer simulation of needle insertion into soft tissue.
Wittek, Adam; Bourantas, George; Zwick, Benjamin F; Joldes, Grand; Esteban, Lionel; Miller, Karol.
Afiliación
  • Wittek A; Intelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Western Australia, Australia.
  • Bourantas G; Intelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Western Australia, Australia.
  • Zwick BF; Intelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Western Australia, Australia.
  • Joldes G; Intelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Western Australia, Australia.
  • Esteban L; Commonwealth Science and Industry Research Organization CSIRO, Medical XCT Facility, Kensington, Western Australia, Australia.
  • Miller K; Intelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Western Australia, Australia.
PLoS One ; 15(12): e0242704, 2020.
Article en En | MEDLINE | ID: mdl-33351854
In this study we present a kinematic approach for modeling needle insertion into soft tissues. The kinematic approach allows the presentation of the problem as Dirichlet-type (i.e. driven by enforced motion of boundaries) and therefore weakly sensitive to unknown properties of the tissues and needle-tissue interaction. The parameters used in the kinematic approach are straightforward to determine from images. Our method uses Meshless Total Lagrangian Explicit Dynamics (MTLED) method to compute soft tissue deformations. The proposed scheme was validated against experiments of needle insertion into silicone gel samples. We also present a simulation of needle insertion into the brain demonstrating the method's insensitivity to assumed mechanical properties of tissue.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Siliconas / Modelos Estadísticos / Inyecciones / Agujas Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Siliconas / Modelos Estadísticos / Inyecciones / Agujas Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Australia