A novel hybrid rendering approach to soft tissue cutting in surgical simulation

2015 ◽  
Author(s):  
Jie Luo ◽  
Shaoping Xu ◽  
Shunliang Jiang
Keyword(s):  
Soft Tissue ◽  
Surgical Simulation ◽  
Hybrid Rendering ◽  
Tissue Cutting

scholarly journals Meshless algorithm for soft tissue cutting in surgical simulation

2012 ◽  
Vol 17 (7) ◽  
pp. 800-811 ◽  
Author(s):  
Xia Jin ◽  
Grand Roman Joldes ◽  
Karol Miller ◽  
King H. Yang ◽  
Adam Wittek
Keyword(s):  
Soft Tissue ◽  
Surgical Simulation ◽  
Tissue Cutting

Failure behavior and influence of surgical tool edges in soft tissue cutting

2021 ◽  
Vol 68 ◽  
pp. 69-78
Author(s):  
Zhihua Liu ◽  
Hang Chen ◽  
Jianbo Sui ◽  
Zhishan Yuan ◽  
Zhihua Chen ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Failure Behavior ◽  
Tissue Cutting ◽  
Surgical Tool

Virtual Training System with Physical Viscoelastic Model and Blood Flow Simulation Based on a Range-Based SPH Method

2015 ◽  
Vol 25 ◽  
pp. 41-53 ◽  
Author(s):  
Yi Dong Bao ◽  
Dong Mei Wu
Keyword(s):  
Blood Flow ◽  
Soft Tissue ◽  
Flow Simulation ◽  
Training System ◽  
Sph Method ◽  
Viscoelastic Creep ◽  
Blood Flow Simulation ◽  
Tissue Cutting ◽  
Creep Characteristics ◽  
Cutting Model

A physical mesh-less soft tissue cutting model with the viscoelastic creep characteristics has been proposed in this paper. The model is composed of filled spheres which are connected by Kelvin structure, so as to realize the cutting with viscoelastic creep characteristics. Then, it is further compared with the mass spring model in order to verify the effectiveness of the model. Secondly, a range-based Smoothed Particle Hydrodynamics (SPH) method with variable smoothing length is proposed, in order to simulate the blood flow simulation effect in the virtual surgery training system. Finally, the two are combined to be applied to the kidney soft tissue cutting experiment in surgery trainings. Experiments show there is a significant improvement on the cutting and simulation effect in terms of the viscoelasticity of the soft tissue cutting and the pressure and viscous force of blood flow.

scholarly journals Soft tissue cutting with ultrasonic mechanical waveguides

2012 ◽  
Author(s):  
Mark. P. Wylie ◽  
Garrett McGuinness ◽  
Graham P. Gavin
Keyword(s):  
Soft Tissue ◽  
Tissue Cutting

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

2014 ◽  
Vol 9 (4) ◽  
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.

3D Algorithm for Simulation of Soft Tissue Cutting

2013 ◽  
pp. 49-62 ◽  
Author(s):  
Xia Jin ◽  
Grand Roman Joldes ◽  
Karol Miller ◽  
Adam Wittek
Keyword(s):  
Soft Tissue ◽  
Tissue Cutting

Stereolithographic models of 3-D sonographic soft-tissue data for preoperative surgical simulation

1998 ◽  
Vol 36 (3) ◽  
pp. 224
Author(s):  
R. Sader ◽  
B. Kirst ◽  
H.F. Zeilhofer ◽  
G. Kadegge ◽  
M. Haunschild ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Surgical Simulation ◽  
Stereolithographic Models
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