基于GPU的工业CT三维图像任意断面剖切算法
GPU-based Arbitrary Clipping Rendering Algorithm for 3D Images of the Industrial Computerized Tomography
摘 要
研究工业CT三维图像的内部信息是无损检测的重要途径。为了实时观察三维图像的任意断面, 获取数据信息, 提出一种基于GPU的体绘制任意断面剖切算法。该算法基于图形处理器(GPU)单指令多数据流(SIMD)计算方式, 通过并行计算内积的方法确定体素与切面的位置关系。当体素位于切面外侧时, 则将体素设置为完全透明, 使其对显示图像没有贡献, 实现了任意断面剖切。还可以实现多断面剖切和结合传输函数的剖切。试验证明, 该算法达到交互速度, 能够应用于工业无损检测过程中。
无损检测
直接体绘制
任意断面剖切
图形处理器
Industrial computerized tomography(ICT)
Non-destructive testing
Direct volume rendering
Arbitrary clipping
Graphics processing unit(GPU)
Abstract
In the process of non-destructive testing, its an important approach to explore information from the 3D images of the industrial computerized tomography(ICT). In order to observing the arbitrary clipping and getting information of the 3D images, a GPU-based arbitrary clipping rendering algorithm is developed. By calculating dot metrix between the position of voxel and the parameter of clipping plane with the single instruction multiple data(SIMD) instruction of the graphics processing unit(GPU), this algorithm determines the relationship between voxel and the plane, and then modifies the voxels transparence in parallel. According to the dot metrix value, the transparences of voxels outside the plane are set into zero, which makes them no contributions to the result, thus the arbitrary clipping plane is rendered finally. Our approach can also fulfill multiple plane clipping and clipping combined with transfer function. Its proved that this approach carries the point for interaction and satisfies the application of non-destructive testing process.
中图分类号 TG115.28 TP391
所属栏目 科研成果与学术交流
基金项目 国家自然基金重点资助项目(60532080); 北京市科技新星资助项目(2005B49)
收稿日期 2009/2/16
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网络出版日期
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备注杨 涛(1982-), 男, 博士研究生, 研究方向为三维可视化。
引用该论文: YANG Tao,ZHAO Xing,ZHANG Peng. GPU-based Arbitrary Clipping Rendering Algorithm for 3D Images of the Industrial Computerized Tomography[J]. Nondestructive Testing, 2010, 32(1): 14～18
杨 涛,赵 星,张 朋. 基于GPU的工业CT三维图像任意断面剖切算法[J]. 无损检测, 2010, 32(1): 14～18
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【2】Schulze J P, Niemeier R, Lang U. The perspective shear-warp algorithm in a virtual environment[C]// Proceedings of Visualization’01. Amsterdam, Netherlands: Elsevier Science Publishers B V, 2001: 207-213.
【3】He Hui Guang, Tian Jie, Lin Yao, et al. Virtual cutting and its application in medical imaging[J].Chinese Journal of Medical Physics, 2002, 19(2): 72-78.
【4】杨慧, 鲍旭东.基于硬件加速体绘制的切割方法[J].生物医学工程研究, 2007, 26(2): 183-190.
【5】孙刚, 杨杰.基于硬件纹理体重建的切割算法[J].上海交通大学学报, 2006, 40(5): 783-786.
【6】Weiskopf D, Engel K, Ertl T. Volume Clipping via Per–Fragment Operations in Texture-Based Volume Visualization[C]//Proceedings of Visualization’02. Washington, DC, USA: IEEE Computer Society, 2002: 93-100.
【7】Weiskopf D, Engel K, Ertl T. Interactive clipping techniques for texture-based volume visualization and volume shading[J]. IEEE Transactions on Visualization and Computer Graphics, 2003, 9(3): 298-312.
【8】李衷怡, 张浩, 李利军, 等.体绘制的任意曲面切割方法[J].计算机工程与应用, 2005, 41(33): 60-63.
【9】Woo M, Neider J, Davis T, et al. OpenGL Programming Guide Third edition[M]. Massachusetts: Addison Wesley, 1999: 118-119.
【10】Gaurav K, Bijaya B K. Visualization of 3D scientific datasets based on interactive clipping[R]. WSCG 2005 Short Papers proceedings, Plzen, Czech Republic: UNION Agency-Science Press, 2005: 33-33.
【11】Westermann R, Ertl T. Efficiently using graphics hardware in volume rendering applications[C]// Proceedings of the ACM SIGGRAPH′98. New York, NY, USA: ACM Press, 1998: 169-178.
【12】Meiβner M, Hoffmann U, Straβer W. Enabling Classification and Shading for 3D Texture-based Volume Rendering Using OpenGL and Extensions[C]// Proceedings of Visualization’99. New York, NY, USA: ACM Press, 1999: 207-214.
【13】Rezk-Salama C, Engel K, Bauer M, et al. Interactive Volume Rendering on Standard PC Graphics Hardware Using Multi-texturing and Multi-stage Rasterization[C]//Proceedings of Euro graphics/SIGGRAPH Workshop on Graphics Hardware. New York, NY, USA: ACM Press, 2000: 109-118.
【14】吴恩华, 柳有权.基于图形处理器(GPU)的通用计算[J].计算机辅助设计与图形学学报, 2004, 16(5): 601-612.
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