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Minimally invasive virtual abdominal aorta vascular surgery collision detection method

A technology for abdominal aorta and collision detection, which is applied in the direction of animation production, 3D image processing, image data processing, etc., can solve the problems of complex intersection test and low efficiency

Active Publication Date: 2015-12-30
DALIAN UNIV OF TECH
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Problems solved by technology

This method uses the fast collision detection of the outer AABB bounding box to solve the problem of complex intersection test and low efficiency in the classic bounding box method, and improves the real-time performance of the system

Method used

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  • Minimally invasive virtual abdominal aorta vascular surgery collision detection method
  • Minimally invasive virtual abdominal aorta vascular surgery collision detection method
  • Minimally invasive virtual abdominal aorta vascular surgery collision detection method

Examples

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with accompanying drawing.

[0037] Such as figure 1 As shown, a collision detection method in virtual minimally invasive abdominal aortic vascular surgery includes the following steps:

[0038] Step 1, three-dimensional modeling of the abdominal aorta blood vessel: the collision detection of the present invention is based on the geometric model of the abdominal aorta blood vessel, and at first the CT of the abdominal aorta blood vessel is performed using medical image software in the model preparation stage before the collision detection Perform 3D reconstruction of the data to obtain a 3D geometric model, and then perform overlay repair, smoothing, and mesh optimization operations on the reconstructed 3D geometric model to obtain a more accurate 3D geometric model, specifically including the following sub-steps:

[0039] (a), window width and level adjustment and pseudo-color enhancement are perform...

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Abstract

The invention relates to the technical field of simulation control and graphic processing, and provides a virtual minimally invasive abdominal aorta vascular surgery collision detection method comprising the following steps of 1, abdominal aorta vascular three-dimensional modeling; 2, abdominal aorta vascular deformation model construction; 3, rough collision detection; and 4, precise collision detection. The problems of a classic bounding box method that intersection testing is complex and efficiency is low can be solved by utilizing rapid collision detection of an external layer AABB bounding box so that real-time performance of the system can be enhanced. Precise collision detection is performed by utilizing the characteristic of tightness of an internal layer K-DOPs bounding box so that high accuracy of the detection result is guaranteed.

Description

technical field [0001] The invention relates to a collision detection method in minimally invasive virtual abdominal aortic vascular surgery, and belongs to the technical field of simulation control and graphics processing. Background technique [0002] The minimally invasive surgery simulation system based on virtual reality technology, that is, the minimally invasive virtual surgery simulation system, is a technology that replaces traditional medical training methods. It is conducive to improving surgical skills and reducing surgical errors, and has great development prospects. A basic minimally invasive virtual vascular surgery simulation system can be composed of functional modules such as vascular model, collision detection, vision and force feedback, among which collision detection runs through the whole process of vascular surgery simulation, and realizes the immersion and Interactivity and other aspects play an important role. [0003] The basic task of collision de...

Claims

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Application Information

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IPC IPC(8): G06T19/00G06T15/00G06T7/00
CPCG06T19/00G06T2210/41G06T2210/21G06T13/20G06T17/00
Inventor 刘蓉王永轩张婷
Owner DALIAN UNIV OF TECH
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