scholarly journals Real-time collision detection for virtual surgery

2003 ◽  
Author(s):  
J.-C. Lombardo ◽  
M.-P. Cani ◽  
F. Neyret
Keyword(s):  
Real Time ◽  
Collision Detection ◽  
Virtual Surgery

scholarly journals Real-Time Smoke and Bleeding Simulation in Virtual Surgery

2006 ◽  
Author(s):  
Stefan Daenzer ◽  
Kevin Montgomery ◽  
Ruediger Dillmann ◽  
Roland Unterhinninghofen
Keyword(s):  
Minimally Invasive Surgery ◽  
Soft Tissue ◽  
Minimally Invasive ◽  
Open Source ◽  
Real Time ◽  
Invasive Surgery ◽  
Collision Detection ◽  
Virtual Surgery ◽  
Surgery Simulation ◽  
Surgery Simulator

We describe the implementation of smoke and bleeding simulation in the open source surgery simulator SPRING , which is particularly targeted for minimally invasive surgery simulation. Many smoke and bleeding simulations offer high physical and visual accuracy, but the underlaying models are to complex to run in real-time while performing soft-tissue simulation, collision detection and haptic device support at the same time. Our algorithms are based on simple models, that allow the surgery simulation to run in real-time.

A study of real-time simulation of liver of virtual surgical robot based on biologically position-based dynamic model

2021 ◽  
pp. 1-16
Author(s):  
Dan Luo ◽  
Yu Zhang ◽  
Jia Li ◽  
Jisheng Li
Keyword(s):  
Soft Tissue ◽  
Real Time ◽  
Surgical Instruments ◽  
Organic Polymer ◽  
Tetrahedral Mesh ◽  
Virtual Surgery ◽  
Constraint Force ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Spring Force

Virtual surgery robot can accurately modeling of surgical instruments and human organs, and realistic simulation of various surgical phenomena such as deformation of organic tissues, surgery simulation system can provide operators with reusable virtual training and simulation environment. To meet the requirement of virtual surgery robot for the authenticity and real-time of soft tissue deformation and surgical simulation in liver surgery, a new method is proposed to simulate the deformation of soft tissue. This method combines the spring force, the external force of the system, and the constraint force produced by the constraint function of the position-based dynamics. Based on the position-based dynamics, an improved three-parameter mass-spring model is added. In the calculation of the elastic force, the nonlinearity and viscoelasticity of the soft tissue are introduced, and the joint force of the constraint projection process and the constraint force of the position-based dynamics is used to modify mass points movement. The method of position-based dynamics based on biological characteristics, not only considers the biomechanical properties of biological soft tissue as an organic polymer such as viscoelasticity, nonlinearity, and incompressibility but also retains the rapidity and stability of the position based dynamic method. Through the simulation data, the optimal side length of tetrahedral mesh in the improved three-parameter model is obtained, and the physical properties of the model are proved. The real-time simulation of the liver and other organs is completed by using the Geomagic touch force feedback device, which proves the practicability and effectiveness of this method.

Design on Experience Virtual Tour System

2014 ◽  
Vol 536-537 ◽  
pp. 603-606
Author(s):  
Yu Mei Liu ◽  
Yu Dan Dong ◽  
Jing Wu
Keyword(s):  
Real Time ◽  
Collision Detection ◽  
Detection Methods ◽  
Model Structure ◽  
Object Model ◽  
Tourist Attractions ◽  
Virtual Tour ◽  
Modeling Techniques

According to the characteristics and needs of virtual scenic roaming system, select the appropriate modeling techniques. By using the modeling platform scenic entity object model structure, and then build virtual tourist attractions, we propose hierarchical collision detection methods. This method actually meets the accuracy requirements under the premise, greatly reducing the number and complexity of collision detection; effectively improve the system in real time.

Collision Detection

2011 ◽  
pp. 36-67
Author(s):  
Gabriel Zachmann
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Collision Detection ◽  
Serious Games ◽  
Medical Training ◽  
Virtual Assembly ◽  
Virtual Objects ◽  
Enabling Technologies ◽  
Assembly Simulation ◽  
Physically Based

Collision detection is one of the enabling technologies in many areas, such as virtual assembly simulation, physically-based simulation, serious games, and virtual-reality based medical training. This chapter will provide a number of techniques and algorithms that provide efficient, real-time collision detection for virtual objects. They are applicable to various kinds of objects and are easy to implement.

An Optimized Collision Detection Algorithm Based on Dynamic Bounding Volume Tree

2013 ◽  
Vol 846-847 ◽  
pp. 1372-1375
Author(s):  
Wei Zhao ◽  
Li Ming Ye
Keyword(s):  
Real Time ◽  
Collision Detection ◽  
Detection Algorithm ◽  
The Real ◽  
Bounding Volume

An optimized collision detection algorithm based on dynamic bounding volume tree is proposed in this paper. First this algorithm adopts spatial division to exclude objects which cant intersect to define the potential intersection areas. Then use a new dynamic OBB bounding volume tree to test whether the intersection happened between the objects in the same grid. At last, this algorithm improves the traditional overlapping test between the primitives for accurate collision detection to accelerate the detection between objects. Compared to the traditional collision detection algorithm based on OBB bounding volume. This algorithm can effectively improve the real-time of the collision detection without affecting the accuracy of original collision detection.

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