scholarly journals Mathematical modeling and computer simulation of needle insertion into soft tissue

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0242704
Author(s):  
Adam Wittek ◽  
George Bourantas ◽  
Benjamin F. Zwick ◽  
Grand Joldes ◽  
Lionel Esteban ◽  
...  

In this study we present a kinematic approach for modeling needle insertion into soft tissues. The kinematic approach allows the presentation of the problem as Dirichlet-type (i.e. driven by enforced motion of boundaries) and therefore weakly sensitive to unknown properties of the tissues and needle-tissue interaction. The parameters used in the kinematic approach are straightforward to determine from images. Our method uses Meshless Total Lagrangian Explicit Dynamics (MTLED) method to compute soft tissue deformations. The proposed scheme was validated against experiments of needle insertion into silicone gel samples. We also present a simulation of needle insertion into the brain demonstrating the method’s insensitivity to assumed mechanical properties of tissue.

Author(s):  
Ming Jia ◽  
Jean W. Zu ◽  
Alireza Hariri

Knowledge of tissue mechanical properties is widely required by medical applications, such as disease diagnostics, surgery operation, simulation, planning, and training. A new portable device, called Tissue Resonator Indenter Device (TRID), has been developed for measurement of regional viscoelastic properties of soft tissues at the Bio-instrument and Biomechanics Lab of the University of Toronto. As a device for soft tissue properties in-vivo measurements, the reliability of TRID is crucial. This paper presents TRID’s working principle and the experimental study of TRID’s reliability with respect to inter-reliability, intra-reliability, and the indenter misalignment effect as well. The experimental results show that TRID is a reliable device for in-vivo measurements of soft tissue mechanical properties.


2017 ◽  
Vol 17 (07) ◽  
pp. 1740016
Author(s):  
MONAN WANG ◽  
ZHIYONG MAO ◽  
XIANJUN AN

This study used biomechanical models of soft tissues based on combined exponential and polynomial models. Finite element methods were used to solve material nonlinear and geometrically nonlinear problems of soft tissue models. This involved assigning a screening coefficient in the model-accelerated computing process to filter the units involved in the calculation. The screening coefficient controlled both the accuracy of the results of simulation and the computing speed through setting up a subset of finite elements. The fast computer method based on the screening coefficient was applied to the rectus femoris simulation.


2007 ◽  
Vol 334-335 ◽  
pp. 133-136
Author(s):  
Hang Yin Ling ◽  
P. Carrie Choi ◽  
Y.P. Zheng ◽  
Alan Kin Tak Lau

This paper demonstrates the use of ultrasound (US) indentation technique for estimating the mechanical properties of tissue- mimicking phantom composites. A tissue-mimicking phantom composite is used to simulate two-layer soft tissue in human. Investigation on the mechanical properties of the phantom composites is extremely important for the understanding of the viscoelastic behaviours of soft tissues and the validation of our proposed US indentation system. The hand-held indentation probe embedded with a US transducer and a load cell together with a US pulser/ receiver. The output of the whole indentation process can be illustrated as force-deformation curves. The mechanical properties of the phantom composites can be estimated by analyzing the force-deformation curves using genetic algorithm (GA).


2018 ◽  
Vol 3 (1) ◽  
pp. 100
Author(s):  
Miguel Moreno ◽  
Carlos Plazaola ◽  
Guadalupe González ◽  
Mayteé Zambrano ◽  
Carmenza Spadafora

This work is related to the hyperelastic models most used in soft tissue. The importance of obtaining accurate mechanical properties of tissues are of great interest for various medical applications, for example: in treatment of diseases and surgical simulations in real time. The aim of this literature review is to evaluate the models used for proposing a mathematical formulation and modelling the mechanical behaviour of a sequence of layers of soft tissues and your reply to undergo external actions of mechanical nature, in order to improve the techniques of characterization of soft tissues.Keywords: Biomechanical, Hyperelasticity, Mechanical Properties, Nonlinear elasticity, Soft Tissues.


2021 ◽  
Vol 9 (39) ◽  
pp. 8348-8354
Author(s):  
Yaming Wang ◽  
Masahiro Okada ◽  
Shi Chao Xie ◽  
Yu Yang Jiao ◽  
Emilio Satoshi Hara ◽  
...  

A metallic solid-state adhesive for biological soft tissues was fabricated using Ti–6Al–4V alloys, and the influence of the minor β phase and the small amount of Al in the α phase are reported.


RSC Advances ◽  
2014 ◽  
Vol 4 (60) ◽  
pp. 32017-32023 ◽  
Author(s):  
Adrien Leroy ◽  
Assala Al Samad ◽  
Xavier Garric ◽  
Sylvie Hunger ◽  
Danièle Noël ◽  
...  

Degradable and biocompatible networks have been prepared via thiol–yne photochemistry from novel alkyne multifunctional PCL. The mechanical properties of these cross-linked biomaterials could make them good candidates for soft tissues scaffolds.


2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Sorapong Aootaphao ◽  
Saowapak S. Thongvigitmanee ◽  
Jartuwat Rajruangrabin ◽  
Chalinee Thanasupsombat ◽  
Tanapon Srivongsa ◽  
...  

Soft tissue images from portable cone beam computed tomography (CBCT) scanners can be used for diagnosis and detection of tumor, cancer, intracerebral hemorrhage, and so forth. Due to large field of view, X-ray scattering which is the main cause of artifacts degrades image quality, such as cupping artifacts, CT number inaccuracy, and low contrast, especially on soft tissue images. In this work, we propose the X-ray scatter correction method for improving soft tissue images. The X-ray scatter correction scheme to estimate X-ray scatter signals is based on the deconvolution technique using the maximum likelihood estimation maximization (MLEM) method. The scatter kernels are obtained by simulating the PMMA sheet on the Monte Carlo simulation (MCS) software. In the experiment, we used the QRM phantom to quantitatively compare with fan-beam CT (FBCT) data in terms of CT number values, contrast to noise ratio, cupping artifacts, and low contrast detectability. Moreover, the PH3 angiography phantom was also used to mimic human soft tissues in the brain. The reconstructed images with our proposed scatter correction show significant improvement on image quality. Thus the proposed scatter correction technique has high potential to detect soft tissues in the brain.


e-Polymers ◽  
2014 ◽  
Vol 14 (6) ◽  
pp. 441-447 ◽  
Author(s):  
Sukhwinder K. Bhullar

AbstractAging, accidents and diseases are the leading causes of disability in today’s world. Therefore, implants and prostheses for hard and soft tissues are becoming increasingly common to restore daily activity and improve the quality of life of patients. Although implants have been extensively developed and are in the clinical use, deformation mechanism, inflexibility and mismatch of the elastic and mechanical behavior of the implants with native tissues are challenges for tissue engineering. The objective of this study was to characterize auxetic polyurethane foam as an auxetic soft tissue implant based on mathematical modeling using a nonlinear elasticity theory. The compressibility effects on auxetic soft tissue implants due to equibiaxial loading were studied. Numerical results were computed using experimentally obtained data and compared with the non-auxetic behavior of a soft tissue.


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