Mechanics-Based Interactive Modeling for Medical Flexible Needle Insertion in Consideration of Nonlinear Factors

2016 ◽  
Vol 11 (1) ◽  
Author(s):  
Shan Jiang ◽  
Xingji Wang
Keyword(s):  
Soft Tissue ◽  
Kinematic Model ◽  
Needle Insertion ◽  
Winkler Foundation ◽  
Nonlinear Characteristics ◽  
Deformation Control ◽  
Needle Deflection ◽  
Iteration Cycle ◽  
Foundation Model ◽  
Sensitivity Studies

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.

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.

Modeling and Simulation of Flexible Needle Insertion Into Soft Tissue Using Modified Local Constraints

2016 ◽  
Vol 138 (12) ◽  
Author(s):  
Dedong Gao ◽  
Yong Lei ◽  
Bin Lian ◽  
Bin Yao
Keyword(s):  
Soft Tissue ◽  
Interaction Model ◽  
Ccd Camera ◽  
Coupling Model ◽  
Needle Insertion ◽  
Medical Procedure ◽  
Tissue Deformation ◽  
Friction Forces ◽  
Needle Deflection ◽  
Insertion Procedure

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.

Steerability and Kinematics of Bevel-Tip Flexible Needle

2015 ◽  
Author(s):  
Dedong Gao ◽  
Yong Lei ◽  
Bin Yao ◽  
Qiang Li ◽  
Huiquan Bai
Keyword(s):  
Inverse Kinematics ◽  
Kinematic Model ◽  
Needle Insertion ◽  
The Body ◽  
Body Frame ◽  
Kinematic Equation ◽  
Solution Sets ◽  
Medical Diagnoses ◽  
Needle Deflection ◽  
Position And Orientation

Steerable flexible needles with bevel-tip are designed for many medical diagnoses and treatments. In this paper we present a new kinematic model for the bevel-tip flexible needle. Based on the analysis of needle deflection, the procedure of needle insertion can be decomposed of n sub-procedures, which are independent on the depth of insertion. In each sub-procedure, the tip is steered though the base to generate three motions with respect to the body-frame Oxiyizi: the rotation about zi, the translation along zi and the rotation about yi. The kinematics of flexible needle with bevel-tip is presented using the Denavit-Hartenberg method. The inverse kinematics of needle insertion is derived from the kinematic equation of flexible needle. The solution sets are discussed for the insertion consisting of consecutive rotation and insertion control actions. Furthermore, how to select suitable insertion position and orientation is discussed.

Estimation Equation of Needle Deflection Based on Dynamics Model in Robot-Assisted Percutaneous Surgery

2011 ◽  
Vol 317-319 ◽  
pp. 633-637
Author(s):  
Wen Zhong Ma ◽  
Dong Mei Wu ◽  
Zhi Jiang Du
Keyword(s):  
Soft Tissue ◽  
Needle Insertion ◽  
Experimental Result ◽  
Percutaneous Surgery ◽  
Dynamics Model ◽  
Robot Assisted ◽  
Needle Deflection ◽  
Reference Strategy

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

STUDY OF THE TARGETING ERROR FOR PERCUTANEOUS NEEDLE INSERTION INTO SOFT PHANTOM MATERIAL

2016 ◽  
Vol 16 (02) ◽  
pp. 1650005 ◽  
Author(s):  
XINGJI WANG ◽  
SHAN JIANG
Keyword(s):  
Soft Tissue ◽  
Interaction Model ◽  
Needle Insertion ◽  
Uniaxial Tensile ◽  
Fe Model ◽  
Target Displacement ◽  
Uniaxial Tensile Strength ◽  
Needle Deflection ◽  
Two Factors ◽  
Insertion Process

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.

scholarly journals Force-Sensor-Based Estimation of Needle Tip Deflection in Brachytherapy

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Thomas Lehmann ◽  
Mahdi Tavakoli ◽  
Nawaid Usmani ◽  
Ronald Sloboda
Keyword(s):  
Force Sensor ◽  
Needle Insertion ◽  
Interstitial Brachytherapy ◽  
Control Technique ◽  
Torque Sensor ◽  
Treatment Efficiency ◽  
Treatment Procedure ◽  
Virtual Sensor ◽  
Needle Deflection ◽  
Mechanical Models

A virtual sensor is developed for the online estimation of needle tip deflection during permanent interstitial brachytherapy needle insertion. Permanent interstitial brachytherapy is an effective, minimally invasive, and patient friendly cancer treatment procedure. The deflection of the needles used in the procedure, however, undermines the treatment efficiency and, therefore, needs to be minimized. Any feedback control technique to minimize the needle deflection will require feedback of this quantity, which is not easy to provide. The proposed virtual sensor for needle deflection incorporates a force/torque sensor, mounted at the base of the needle that always remains outside the patient. The measured forces/torques are used by a mathematical model, developed based on mechanical needle properties. The resulting estimation of tip deflection in real time during needle insertion is the main contribution of this paper. The proposed approach solely relies on the measured forces and torques without a need for any other invasive/noninvasive sensing devices. A few mechanical models have been introduced previously regarding the way the forces are composed along the needle during insertion; we will compare our model to those approaches in terms of accuracy. In order to conduct experiments to verify the deflection model, a custom-built, 2-DOF robotic system for needle insertion is developed and discussed. This system is a prototype of an intelligent, hand-held surgical assistant tool that incorporates the virtual sensor proposed in this paper.

Needle Insertion Control Method for Minimizing Both Deflection and Tissue Damage

2019 ◽  
Vol 04 (01) ◽  
pp. 1842005
Author(s):  
Ryosuke Tsumura ◽  
Yusuke Takishita ◽  
Hiroyasu Iwata
Keyword(s):  
Tissue Damage ◽  
Control Method ◽  
Axial Rotation ◽  
Needle Insertion ◽  
Experimental Results ◽  
Insertion Force ◽  
Tissue Sections ◽  
Needle Deflection ◽  
Hole Area ◽  
Insertion Method

Because fine needles can easily be deflected, accurate needle insertion is often difficult. Lower abdominal insertion is particularly difficult because of less imaging feedback; thus, an approach for allowing a straight insertion path by minimizing deflection is beneficial in cases of lower abdominal insertion. Although insertion with axial rotation can minimize deflection, the rotational insertion may cause tissue damage. Therefore, we established a novel insertion method for minimizing both deflection and tissue damage by combining rotation and vibration. Using layered tissues, we evaluated the effect of a combination of rotation and vibration in terms of deflection and tissue damage, which were measured by the insertion force and torque, and the area of the hole created by the needle using histological tissue sections to measure tissue damage. The experimental results demonstrated that insertion with unidirectional rotation is risky in terms of tissue wind-up, while insertion with bidirectional rotation can decrease deflection and avoid wind-up. We also found that insertion with vibration can decrease the insertion force and torque. Therefore, insertion with a combination of bidirectional rotation and vibration can minimize needle deflection and tissue damage, including the insertion force and torque and the hole area.

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