Needle deflection estimation using fusion of electromagnetic trackers

2012 ◽  
Author(s):  
H. Sadjadi ◽  
K. Hashtrudi-Zaad ◽  
G. Fichtinger
Keyword(s):  
Needle Deflection ◽  
Needle Deflection Estimation

scholarly journals Kalman filter-based EM-optical sensor fusion for needle deflection estimation

2018 ◽  
Vol 13 (4) ◽  
pp. 573-583 ◽  
Author(s):  
Baichuan Jiang ◽  
Wenpeng Gao ◽  
Daniel Kacher ◽  
Erez Nevo ◽  
Barry Fetics ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Sensor Fusion ◽  
Optical Sensor ◽  
Needle Deflection ◽  
Needle Deflection Estimation

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.

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.

MECHANICS-BASED BEVEL-TIP NEEDLE DEFLECTION MODEL DURING NEEDLE–SOFT TISSUE INTERACTION PROCESS

2014 ◽  
Vol 14 (05) ◽  
pp. 1450076 ◽  
Author(s):  
SHAN JIANG ◽  
XINGJI WANG ◽  
ZHILIANG SU
Keyword(s):  
Interaction Model ◽  
Needle Insertion ◽  
Force Model ◽  
Insertion Force ◽  
Simulation Accuracy ◽  
Tissue Properties ◽  
Tissue Interaction ◽  
Needle Deflection ◽  
Tissue Equivalent ◽  
Needle Insertion Force

Flexible needle insertion is performed in many clinical and brachytherapy procedures. Needle bending which results from needle–tissue interaction and needle flexibility plays a pivotal role in implantation accuracy. In this paper, a needle insertion force model and a mechanics-based needle deflection model are applied in simulating the real needle insertion process. Using tissue-equivalent materials, the needle force model is acquired from needle insertion experiments. Based on the principle of minimum potential energy, a mechanics-based model is developed to calculate needle deflection. The needle deflection model incorporates needle insertion forces model, needle–tissue interaction model, needle geometric, and tissue properties. The bending–stretching coupling and geometric non-linearity of the flexible needle are both taken into consideration in the needle deflection model. A modified p–y curves method is first introduced in depicting the lateral needle–tissue interaction. The comparison between experimental and simulation results of needle deflection shows that our mechanics-based model can simulate the deflection of the flexible needle with reasonable accuracy. Parametric studies on different geometry properties of needles show that our mechanics-based model can precisely predict the needle deflection when more than one parameter is changed. In addition, as the needle deflection results are obtained numerically by Rayleigh–Ritz approach, further study on the form of deflection formulation leads to the conclusion that choosing a higher order polynomial can improve the overall simulation accuracy.

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