STUDY ON MECHANICAL CHARACTERIZATION OF LIVER TISSUE BASED ON HAPTIC DEVICES FOR VIRTUAL SURGICAL SIMULATION

In recent years, virtual surgical simulation has been one of the hot direction of digital medical research, it is mainly used in teaching, training, diagnosis, preoperative planning, rehabilitation and modeling and analysis of surgical instruments. The modeling of soft tissue of human organs is the basis to realize the virtual surgical simulation. The quasi-linear viscoelastic (QLV) theory has been proposed by Fung, and it was widely used for modeling the constitutive equation of soft tissues. The purpose of this study is to determine the mechanical characterization of the liver soft tissue based on the PHANTOM Omni Haptic devices. Five parameters are included in the constitutive equation with QLV theory, which must be determined experimentally. The specimens were obtained from fresh porcine liver tissues in vitro. The liver tissues were cut into 14[Formula: see text]mm[Formula: see text][Formula: see text][Formula: see text]14[Formula: see text]mm[Formula: see text][Formula: see text][Formula: see text]14[Formula: see text]mm cubes. Two types of unconfined compression tests were performed on cube liver specimens. Puncture tests were performed on the complete liver. The material parameters of the QLV constitutive equation were obtained by fitting the experimental data. These parameters will provide the references for the computational modeling of the liver in the virtual surgical simulation.

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Design and validation of a modular micro-robotic system for the mechanical characterization of soft tissues

Acta Biomaterialia ◽

10.1016/j.actbio.2021.07.035 ◽

2021 ◽

Author(s):

Andrea Acuna ◽

Julian M. Jimenez ◽

Naomi Deneke ◽

Sean M. Rothenberger ◽

Sarah Libring ◽

...

Keyword(s):

Soft Tissues ◽

Mechanical Characterization ◽

Robotic System

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MECHANICAL CHARACTERIZATION OF MATERIALS AND DIAGNOSIS OF STRUCTURES BY INVERSE ANALYSES: SOME INNOVATIVE PROCEDURES AND APPLICATIONS

International Journal of Computational Methods ◽

10.1142/s0219876213430020 ◽

2014 ◽

Vol 11 (03) ◽

pp. 1343002 ◽

Cited By ~ 11

Author(s):

GIULIO MAIER ◽

VLADIMIR BULJAK ◽

TOMASZ GARBOWSKI ◽

GIUSEPPE COCCHETTI ◽

GIORGIO NOVATI

Keyword(s):

Structural Analysis ◽

Digital Image Correlation ◽

Residual Stresses ◽

Mechanical Characterization ◽

Image Correlation ◽

Alkali Silica Reaction ◽

Compression Tests ◽

Material Models ◽

Characterization Of Materials

A survey is presented herein of some recent research contributions to the methodology of inverse structural analysis based on statical tests for diagnosis of possibly damaged structures and for mechanical characterization of materials in diverse industrial environments. The following issues are briefly considered: identifications of parameters in material models and of residual stresses on the basis of indentation experiments; mechanical characterization of free-foils and laminates by cruciform and compression tests and digital image correlation measurements; diagnosis, both superficially and in depth, of concrete dams, possibly affected by alkali-silica-reaction or otherwise damaged.

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A NEW PARAMETER ESTIMATION METHOD FOR ONLINE SOFT TISSUE CHARACTERIZATION

Journal of Mechanics in Medicine and Biology ◽

10.1142/s0219519416400194 ◽

2016 ◽

Vol 16 (08) ◽

pp. 1640019 ◽

Cited By ~ 6

Author(s):

JAEHYUN SHIN ◽

YONGMIN ZHONG ◽

JULIAN SMITH ◽

CHENGFAN GU

Keyword(s):

Soft Tissue ◽

Linear Regression ◽

Tissue Characterization ◽

Soft Tissues ◽

Unscented Kalman Filter ◽

Estimation Method ◽

Regression Method ◽

Linear Regression Method ◽

Non Linear

Dynamic soft tissue characterization is of importance to robotic-assisted minimally invasive surgery. The traditional linear regression method is unsuited to handle the non-linear Hunt–Crossley (HC) model and its linearization process involves a linearization error. This paper presents a new non-linear estimation method for dynamic characterization of mechanical properties of soft tissues. In order to deal with non-linear and dynamic conditions involved in soft tissue characterization, this method improves the non-linearity and dynamics of the HC model by treating parameter [Formula: see text] as independent variable. Based on this, an unscented Kalman filter is developed for online estimation of soft tissue parameters. Simulations and comparison analysis demonstrate that the proposed method is able to estimate mechanical parameters for both homogeneous tissues and heterogeneous and multi-layer tissues, and the achieved performance is much better than that of the linear regression method.

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Effect of time complexities and variation of mass spring model parameters on surgical simulation

Malaysian Journal of Fundamental and Applied Sciences ◽

10.11113/mjfas.v9n4.105 ◽

2014 ◽

Vol 9 (4) ◽

Cited By ~ 1

Author(s):

Salina Sulaiman ◽

Tan Sing Yee ◽

Abdullah Bade

Keyword(s):

Soft Tissue ◽

Human Liver ◽

Soft Tissues ◽

Surgical Simulation ◽

Model Parameters ◽

Spring Model ◽

Surgical Simulator ◽

Tissue Model ◽

Mass Spring Model ◽

Mass Spring

Physically based models assimilate organ-specific material properties, thus they are suitable in developing a surgical simulation. This study uses mass spring model (MSM) to represent the human liver because MSM is a discrete model that is potentially more realistic than the finite element model (FEM). For a high-end computer aided medical technology such as the surgical simulator, the most important issues are to fulfil the basic requirement of a surgical simulator. Novice and experienced surgeons use surgical simulator for surgery training and planning. Therefore, surgical simulation must provide a realistic and fast responding virtual environment. This study focuses on fulfilling the time complexity and realistic of the surgical simulator. In order to have a fast responding simulation, the choice of numerical integration method is crucial. This study shows that MATLAB ode45 is the fastest method compared to 2nd ordered Euler, MATLAB ode113, MATLAB ode23s and MATLAB ode23t. However, the major issue is human liver consists of soft tissues. In modelling a soft tissue model, we need to understand the mechanical response of soft tissues to surgical manipulation. Any interaction between haptic device and the liver model may causes large deformation and topology change in the soft tissue model. Thus, this study investigates and presents the effect of varying mass, damping, stiffness coefficient on the nonlinear liver mass spring model. MATLAB performs and shows simulation results for each of the experiment. Additionally, the observed optimal dataset of liver behaviour is applied in SOFA (Simulation Open Framework Architecture) to visualize the major effect.

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Tissue Elasticity Estimation with Optical Coherence Elastography: Toward Mechanical Characterization of In Vivo Soft Tissue

Annals of Biomedical Engineering ◽

10.1007/s10439-005-6766-3 ◽

2005 ◽

Vol 33 (11) ◽

pp. 1631-1639 ◽

Cited By ~ 64

Author(s):

Ahmad S. Khalil ◽

Raymond C. Chan ◽

Alexandra H. Chau ◽

Brett E. Bouma ◽

Mohammad R. Kaazempur Mofrad

Keyword(s):

Soft Tissue ◽

Mechanical Characterization ◽

Optical Coherence ◽

Tissue Elasticity

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Mechanical Characterization of Soft Tissue Constituents for Cancer Detection

Journal of Medical and Biological Engineering ◽

10.1007/s40846-019-00482-x ◽

2019 ◽

Vol 39 (6) ◽

pp. 817-826

Author(s):

Shima Zaeimdar ◽

Parvind Kaur Grewal ◽

Zahra Haeri ◽

Farid Golnaraghi

Keyword(s):

Soft Tissue ◽

Cancer Detection ◽

Mechanical Characterization

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Inverse Mechanical Characterization of Tissue Engineered Heart Valves

ASME 2008 Summer Bioengineering Conference, Parts A and B ◽

10.1115/sbc2008-192521 ◽

2008 ◽

Author(s):

Martijn A. J. Cox ◽

Jeroen Kortsmit ◽

Niels J. B. Driessen ◽

Carlijn V. C. Bouten ◽

Frank P. T. Baaijens

Keyword(s):

Heart Valves ◽

Soft Tissues ◽

Mechanical Characterization ◽

Tensile Tests ◽

Material Behavior ◽

Uniaxial Tensile ◽

Mechanical Conditioning ◽

Indentation Tests ◽

Tissue Engineered Heart Valves

Over the last few years, research interest in tissue engineering as an alternative for current treatment and replacement strategies for cardiovascular and heart valve diseases has significantly increased. In vitro mechanical conditioning is an essential tool for engineering strong implantable tissues [1]. Detailed knowledge of the mechanical properties of the native tissue as well as the properties of the developing engineered constructs is vital for a better understanding and control of the mechanical conditioning process. The nonlinear and anisotropic behavior of soft tissues puts high demands on their mechanical characterization. Current standards in mechanical testing of soft tissues include (multiaxial) tensile testing and indentation tests. Uniaxial tensile tests do not provide sufficient information for characterizing the full anisotropic material behavior, while biaxial tensile tests are difficult to perform, and boundary effects limit the test region to a small central portion of the tissue. In addition, characterization of the local tissue properties from a tensile test is non-trivial. Indentation tests may be used to overcome some of these limitations. Indentation tests are easy to perform and when indenter size is small relative to the tissue dimensions, local characterization is possible. We have demonstrated that by recording deformation gradients and indentation force during a spherical indentation test the anisotropic mechanical behavior of engineered cardiovascular constructs can be characterized [2]. In the current study this combined numerical-experimental approach is used on Tissue Engineered Heart Valves (TEHV).

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