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A Biomimetic Model for Liver Cancer to Study Tumor-Stroma Interactions in a 3D Environment with Tunable Bio-Physical Properties
Published on: August 7, 2020
Development and validation of a viscoelastic and nonlinear liver model for needle insertion
Yo Kobayashi1, Akinori Onishi, Takeharu Hoshi
1Consolidated Research Institute for Advanced Science and Medical Care, Waseda University, Okubo 3-4-1, Shinjuku, Tokyo 169-8555, Japan. you-k@aoni.waseda.jp
International Journal of Computer Assisted Radiology and Surgery
|December 25, 2009
Summary
A new physical liver model accurately predicts organ deformation for needle insertion. This validated model accounts for viscoelasticity and nonlinearity in both in vitro and in vivo scenarios.
Area of Science:
- Biomedical Engineering
- Medical Simulation
- Surgical Robotics
Background:
- Accurate organ modeling is crucial for developing effective surgical tools and training simulators.
- Existing models often lack the fidelity to capture complex tissue behaviors like viscoelasticity and nonlinearity.
Purpose of the Study:
- To develop and validate a viscoelastic and nonlinear physical liver model.
- To enable organ model-based needle insertion planning by predicting deformation.
- To determine optimal needle paths considering organ dynamics.
Main Methods:
- Modeled liver material properties using viscoelastic and nonlinear characteristics based on pig liver data.
- Developed the liver model using Finite Element Method (FEM).
- Validated the model through comparative in vitro and in vivo experiments using pig livers.
Main Results:
- The model accurately reproduced nonlinear and viscoelastic displacement responses in vitro (error < 1 mm for forces up to 0.45 N).
- The model demonstrated high fidelity in simulating the nonlinear load increase during in vivo needle insertion.
- Validation confirmed the model's ability to replicate physical liver responses.
Conclusions:
- The developed physical liver model effectively captures complex liver mechanics.
- The model is validated for both in vitro and in vivo conditions.
- This tool enhances the potential for realistic surgical simulations and planning.
