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GPU (graphics processing unit) acceleration based real-time hybrid particle blood flow-blood vessel coupling method

A technology of mixing particles and blood flow, applied in the field of virtual surgery, can solve the problems of low real-time performance and low authenticity.

Inactive Publication Date: 2015-03-25
WUHAN UNIV
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Problems solved by technology

[0004] Aiming at the problem of poor real-time or real-time coupling of blood flow and vessels in the past

Method used

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  • GPU (graphics processing unit) acceleration based real-time hybrid particle blood flow-blood vessel coupling method
  • GPU (graphics processing unit) acceleration based real-time hybrid particle blood flow-blood vessel coupling method
  • GPU (graphics processing unit) acceleration based real-time hybrid particle blood flow-blood vessel coupling method

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Embodiment Construction

[0036] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0037] please see figure 1 , figure 2 and image 3, The technical solution adopted in the present invention is: a real-time blood-flow vessel coupling method based on GPU-accelerated mixed particles, characterized in that it includes the following steps:

[0038] Step 1: Solve the non-Newtonian viscous force of blood, and its specific implementation includes the following sub-steps:

[0039] Step 1.1: Introduce the Carson equation of non-Newtonian fluid mechanics to model the viscosity coefficient related to the blood flow strain rate; where the Carson eq...

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Abstract

The invention discloses a GPU (graphics processing unit) acceleration based real-time hybrid particle blood flow-blood vessel coupling method. According to the method, a Casson equation is solved in a discretized mode by an SPH (smoothed particle hydrodynamics) method, and further non-Newtonian viscosity force of blood is solved; a layer of surrogate particles are sampled on the blood vessel wall by referring to a classical surrogate particle based boundary processing method in graphics, and coupling force applicable to the surrogate particles and blood particles is defined; the surrogate particles and the blood particles are merged into hybrid particles, and acting force between each pair of mutually neighboring hybrid particles is calculated uniformly in a GPU so as to realize blood flow-blood vessel coupling; force data of the surrogate particles are mapped to colors of the surrogate particles for display to realize blood vessel force visualization. By the viscosity force solving method, authenticity in blood modeling is enhanced, the coupling method is quick and effective, authenticity and real-time performance in coupling are guaranteed, the force visualization method is simple and direct, and rich information about blood vessel wall force distribution is provided.

Description

technical field [0001] The invention belongs to the technical field of virtual surgery, and in particular relates to a real-time blood flow vessel coupling method applied in virtual surgery. Background technique [0002] The coupling of blood flow and blood vessels is an important research content in virtual surgery. Realistic blood flow effects can greatly enhance the immersion of virtual surgery. Today's virtual surgery training system can realistically simulate the coupling of surgical instruments and human organs and tissues. , however, there are not many research works on blood flow-vascular coupling, especially large-scale real-time physics-based blood flow-vascular coupling. On the other hand, the shape of blood vessels and the flow of blood flow interact and influence. Many vascular diseases have an important relationship with hemodynamic factors, such as aneurysms. The origin, growth and rupture of aneurysms are not very clear. However, hemodynamic factors, such as...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 袁志勇郭甲翔廖祥云郑棉仑
Owner WUHAN UNIV
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