Simulation for Needle Deflection and Soft Tissue Deformation in Needle Insertion

2010 ◽  
Vol 139-141 ◽  
pp. 889-892
Author(s):  
De Dong Gao ◽  
Hao Jun Zheng
Keyword(s):  
Finite Element ◽  
Soft Tissue ◽  
Three Dimensional ◽  
Needle Insertion ◽  
Tissue Deformation ◽  
Spring Model ◽  
Ansys Software ◽  
Soft Tissue Deformation ◽  
Needle Deflection ◽  
Element Method

Needle deflection and soft tissue deformation are the most important factors that affect accuracy in needle insertion. Based on the quasi-static thinking and needle forces, an improved virtual spring model and a finite element method are presented to analyze needle deflection and soft tissue deformation when a needle is inserted into soft tissue. According to the spring model, the trajectory of the needle tip is calculated with MATLAB using different parameters. With the superposed element method, the two and three dimensional quasi-static finite element models are created to simulate the dynamic process of soft tissue deformation using ANSYS software. The two methods will be available for steering the flexible needle to hit the target and avoid the obstacles precisely in the robot-assisted needle insertion.

THE POTENTIAL FIELD-BASED TRAJECTORY PLANNING FOR NEEDLE INSERTION IN A SOFT-TISSUE MODEL

2013 ◽  
Vol 25 (01) ◽  
pp. 1350017
Author(s):  
Shan Jiang ◽  
Zhiliang Su ◽  
Zhiyong Yang ◽  
Jun Liu ◽  
Zhenxing Liu
Keyword(s):  
Finite Element ◽  
Soft Tissue ◽  
Trajectory Planning ◽  
Potential Field ◽  
Needle Insertion ◽  
Planning Method ◽  
Tissue Deformation ◽  
Time Step ◽  
Soft Tissue Deformation ◽  
Dynamic Finite Element

This paper presents a 3D dynamic trajectory planning method for the insertion of a rigid needle into soft tissue. The optimal needle tip orientation was calculated in which applying an artificial potential field method to determine the 3D distribution of repulsive and attractive forces surrounding the target object and adjacent obstacles, e.g. bones, nerves, or arteries. Soft-tissue deformation occurs dynamically and continuously during the needle insertion. The trajectory planning was therefore temporally discretized, and the compartment searching method used in each time step. This trajectory planning method was then validated by a dynamic finite element method (FEM) simulation. The dynamic finite element model is built for the important displacement parameters of deformation node in needle insertion process. The Mooney–Rivlin material model combined with solid cubic element and an explicit center differencing scheme was used to compute the soft-tissue deformation at each time step and dynamically identify the target and obstacle positions. The proposed trajectory planning method can optimize the insertion path to achieve the target position while avoiding obstacles.

scholarly journals Soft Tissue Deformation Modeling in the Procedure of Needle Insertion: A Kriging-based Method

2020 ◽  
Author(s):  
Yong Lei ◽  
Murong Li ◽  
Dedong Gao
Keyword(s):  
Finite Element ◽  
Soft Tissue ◽  
Real Time ◽  
Correlation Functions ◽  
Ground Truth ◽  
Needle Insertion ◽  
Planning System ◽  
Tissue Deformation ◽  
Soft Tissue Deformation ◽  
Time Deformation

Abstract The simulation and planning system (SPS) requires accurate and real-time feedback regarding the deformation of soft tissues during the needle insertion procedure. Traditional mechanical-based models such as the finite element method (FEM) are widely used to compute the deformations of soft tissue. However, it is difficult for the FEM or other methods to find a balance between an acceptable image fidelity and real-time deformation feedback due to their complex material properties, geometries and interaction mechanisms. In this paper, a Kriging-based method is applied to model the soft tissue deformation to strike a balance between the accuracy and efficiency of deformation feedback. Four combinations of regression and correlation functions are compared regarding their ability to predict the maximum deformations of ten characteristic markers at a fixed insertion depth. The results suggest that a first order regression function with Gaussian correlation functions can best fit the results of the ground truth. The functional response of the Kriging-based method is utilized to model the dynamic deformations of markers at a series of needle insertion depths. The feasibility of the method is verified by investigating the adaptation to step variations. Compared with the ground truth of the finite element (FE) results, the maximum residual is less than 0.92mm in the Y direction and 0.31mm in the $X$ direction. The results suggest that the Kriging metamodel provides real-time deformation feedback for a target and an obstacle to a SPS.

scholarly journals Development of an Evaluation System for Magnetic Resonance Imaging Based Three-Dimensional Modeling of a Transfemoral Prosthetic Socket Using Finite Elements

2019 ◽  
Vol 9 (18) ◽  
pp. 3662
Author(s):  
Mohd Syahmi Jamaludin ◽  
Akihiko Hanafusa ◽  
Yamamoto Shinichirou ◽  
Yukio Agarie ◽  
Hiroshi Otsuka ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Soft Tissue ◽  
Computer Aided Design ◽  
Evaluation System ◽  
Three Dimensional ◽  
Magnetic Resonance Images ◽  
Future Research ◽  
Tissue Deformation ◽  
Soft Tissue Deformation ◽  
Prosthetic Socket

Recent technologies have suggested the utilization of three-dimensional (3D) printing technology to enhance the fabrication accuracy of prosthetics. Accordingly, simulations are used to obtain precise parameters for subject-specified prosthetic socket. This study proposes an evaluation system to measure the accuracy of a subject-specific 3D transfemoral residuum model during the interaction with the socket in conjunction with the application of finite element methods. The proposed system can be used in future validations of socket fabrication. The evaluation is based on the measurement of the residuum’s soft tissue deformation inside two types of prosthetic sockets. In comparison with other studies, the 3D models were constructed with magnetic resonance images (MRI) with the aid of computer-aided design (CAD) software. The measurement of soft tissue deformation was conducted based on the measurement of the volumetric value of fat, muscle and skin in the pre- and post-donning phases. The result yielded a promising correlation coefficient value between the simulation and the experiment in the soft tissue deformation evaluation. The relation of the muscle–fat ratio in the residuum is extremely important in the determination of the ability of the prosthetic to deform. The environment during the socket fitting session was similar to that defined by the set boundary conditions in simulations. In view of the promising results of this study, the evaluation system proposed herein is considered reliable and is envisaged to be used in future research.

An Analysis of Soft Tissue Deformation by Needle Insertion

2003 ◽  
Vol 2003 (0) ◽  
pp. 641-642
Author(s):  
Toshikatsu Washio ◽  
Kiyoshi Yoshinaka ◽  
Kiyoyuki Chinzei ◽  
Kazuyuki Mizuhara
Keyword(s):  
Soft Tissue ◽  
Needle Insertion ◽  
Tissue Deformation ◽  
Soft Tissue Deformation
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