Needle Deflection Modeling and Verification during Insertion into Soft Tissue

Author(s):  
Liang Xu ◽  
Baoliang Zhao ◽  
Long Lei ◽  
Shibo Li ◽  
Ying Hu ◽  
...  
Author(s):  
Shan Jiang ◽  
Xingji Wang

A mechanics-based model of flexible needle insertion into soft tissue is presented in this paper. Different from the existing kinematic model, a new model has been established based on the quasi-static principle, which also incorporates the dynamics of needle motions. In order to increase the accuracy of the model, nonlinear characteristics of the flexible needle and the soft tissue are both taken into account. The nonlinear Winkler foundation model and the modified Euler–Bernoulli theory are applied in this study, providing a theoretical framework to study insertion and deformation of needles. Galerkin method and iteration cycle analysis are applied in solving a series of deformation control equations to obtain the needle deflection. The parameters used in the mechanics-based model are obtained from the needle force and needle insertion experiment. Sensitivity studies show that the model can respond reasonably to changes in response to variations in different parameters. A 50 mm needle insertion simulation and a 50 mm corresponding needle insertion experiment are conducted to prove the validity of the model. At last, a study on different needle tip bevel demonstrates that the mechanics-based model can precisely predict the needle deflection when more than one parameter is changed. The solution can also be used in optimizing trajectory of the needle tip, enabling the needle to reach the target without touching important physiological structures such as blood vessels with the help of dynamic trajectory planning.


Author(s):  
Haiyan Du ◽  
Yongde Zhang ◽  
Jingang Jiang ◽  
Yanjiang Zhao

2016 ◽  
Vol 1 (2) ◽  
pp. 916-923 ◽  
Author(s):  
Carlos Rossa ◽  
Mohsen Khadem ◽  
Ronald Sloboda ◽  
Nawaid Usmani ◽  
Mahdi Tavakoli

2010 ◽  
Vol 139-141 ◽  
pp. 889-892
Author(s):  
De Dong Gao ◽  
Hao Jun Zheng

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.


Author(s):  
Dedong Gao ◽  
Yong Lei ◽  
Bin Lian ◽  
Bin Yao

Needle insertion is a widely used medical procedure in various minimally invasive surgeries. The estimation of the coupled needle deflection and tissue deformation during the needle insertion procedure is crucial to the success of the surgery. In this work, a novel needle deflection–tissue deformation coupling model is proposed for flexible needle insertion into soft tissue. Based on the assumption that the needle deflection is small comparing to the length of the insertion, the needle–tissue interaction model is developed based on the modified local constraint method, where the interactive forces between the needle and the tissue are balanced through integration of needle–force and tissue–force relationships. A testbed is constructed and the experiments are designed to validate the proposed method using artificial phantom with markers. Based on the experimental analysis, the cutting and friction forces are separated from the force–time curves and used as the inputs into the proposed model. The trajectories of the markers inside the soft tissue are recorded by a CCD camera to compare with the simulation trajectories. The errors between the experimental and simulation trajectories are less than 0.8 mm. The results demonstrate that the proposed method is effective to model the needle insertion procedure.


2016 ◽  
Vol 21 (6) ◽  
pp. 2601-2612 ◽  
Author(s):  
Thomas Lehmann ◽  
Carlos Rossa ◽  
Nawaid Usmani ◽  
Ronald S. Sloboda ◽  
Mahdi Tavakoli

2011 ◽  
Vol 317-319 ◽  
pp. 633-637
Author(s):  
Wen Zhong Ma ◽  
Dong Mei Wu ◽  
Zhi Jiang Du

Aimed to robot-assisted percutaneous surgery, we present an estimation equation to calculate the deflection at needle tip based on dynamics model in this paper. According to the equation, we can use the needle loads to calculate the estimation deflection of needle tip, during needle insertion into soft tissue. Finally, verifying experiments of estimation equation were carried out on a liver. The experimental result shows that the error of equation proposed is small and acceptable. This equation can be used to estimate deflection and direction of needle tip, and can also provide a reference strategy in robot-assisted percutaneous surgery


2016 ◽  
Vol 16 (02) ◽  
pp. 1650005 ◽  
Author(s):  
XINGJI WANG ◽  
SHAN JIANG

Percutaneous needle insertion is widely used in minimally invasive procedures, in which the flexible needle is steered to reach a specific target inside the human body. The targeting error is due to a combination of flexible needle deflection and target displacement in soft tissue and only a very limited number of studies have focused on both two factors. This paper presents a targeting error calculation method which incorporates an energy-based needle deflection model into a soft tissue finite-element (FE) model. The needle insertion process is discretized into several increments on the basis of the quasi-static method. Needle deflection in each step is obtained by the needle-soft tissue interaction model which is applied into the FE model as the displacement input. A 2D-planar FE model is used to model the target displacement by imposing needle distribution forces and needle deflection at different steps on the appointed reference nodes. The soft tissue is modeled as a non-linear hyperelastic material with geometrical non-linearity. Uniaxial tensile strength tests are utilized to determine the soft tissue parameters. Needle targeting experiments are conducted to validate the simulation results. Results show that the proposed method can predict the needle targeting errors while the averaged prediction error stays below 0.4[Formula: see text]mm. At last, we conduct different experiments to compensate the obtained targeting error and thus, reaching preferable effects.


Sign in / Sign up

Export Citation Format

Share Document