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A novel material point method (MPM) based needle-tissue interaction model.

Murong Li¹, Yong Lei¹, Dedong Gao²

¹State Key Laboratory of Fluid Power and Mechatronic Systems, Department of Mechanical Engineering, Zhejiang university, Hangzhou, China.

Computer Methods in Biomechanics and Biomedical Engineering

|March 10, 2021

Summary

This summary is machine-generated.

A new material point method (MPM) models needle-tissue interaction for better prediction of tissue deformation and forces during medical procedures. This approach overcomes limitations of traditional methods, improving accuracy in simulations.

Keywords:

Nonlinear hyperelastic soft tissues material point method medical simulation needle insertion tissue-needle interaction force

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Area of Science:

Computational mechanics
Biomedical engineering
Medical simulation

Background:

Accurate needle-tissue interaction modeling is crucial for surgical planning and robotic interventions.
Traditional Finite Element Method (FEM) models struggle with mesh distortion during needle penetration, leading to computational instability and reduced accuracy.

Purpose of the Study:

To develop a novel needle-tissue interaction model using the Material Point Method (MPM) to address challenges in simulating needle penetration.
To enable simultaneous and independent solving of tissue deformation and interaction forces by integrating a hyperelastic material model.

Main Methods:

Application of the Material Point Method (MPM) for simulating needle insertion, adept at handling discontinuous contact and large deformations.
Integration of a hyperelastic material model to represent tissue behavior accurately.
Experimental validation using a Polyvinyl alcohol (PVA) hydrogel phantom to record tissue deformation and interaction forces.

Main Results:

The proposed MPM-based model successfully simulates needle penetration without mesh distortion issues.
Tissue deformation and interaction forces were accurately predicted and validated against experimental data.
The model demonstrates improved computational stability and accuracy compared to traditional FEM approaches.

Conclusions:

The Material Point Method (MPM) offers a robust and accurate alternative for modeling needle-tissue interactions, particularly for penetration scenarios.
The developed model provides a reliable tool for predicting tissue response and forces, enhancing the development of needle path planning and robotic surgery systems.