基于Web的医学体数据可视化系统
Web-Based Medical Volume Visualization System
DOI: 10.12677/CSA.2018.86104, PDF,    科研立项经费支持
作者: 杨 帅*, 刘兆明, 柯永振:天津工业大学计算机科学与软件学院,天津
关键词: 医学体数据可视化Web光线投射算法Medical Volume Visualization Web Ray Casting
摘要: 基于客户端的医学图像三维可视化系统仅能运行于指定的单一平台,限制了医学图像可视化系统的推广,提高了系统的使用门槛。本文基于WebGL技术,实现了一个无插件的医学图像可视化系统。体数据渲染常用的一种方法为光线投射算法,传统的光线投射算法需要进行大量的插值运算,三维重建速度较慢。本文通过对传统的光线投射算法进行改进,从选取采样点、插值运算、提前光线截止等方面进行改进,从而提高了三维重建的速度,基本满足实时交互的需要。
Abstract: The client-based medical image 3D visualization system can only work on a specified platform, which limits the promotion of the medical image visualization system and raises the cost of using the system. Based on WebGL technology, we implement a plug-in-free medical image visualization system. The ray casting algorithm is one of volume rendering methods. But traditional ray casting algorithm requires a large number of interpolation operations, and the three-dimensional reconstruction speed is slow. We improve the traditional ray casting algorithm by selecting appropriate sampling points, optimizing the interpolation operation and early ray termination, which have in-creased the speed of 3D reconstruction and meet the needs of real-time interaction.
文章引用:杨帅, 刘兆明, 柯永振. 基于Web的医学体数据可视化系统[J]. 计算机科学与应用, 2018, 8(6): 937-943. https://doi.org/10.12677/CSA.2018.86104

参考文献

[1] Zheng, L., Li, G. and Sha, J. (2007) The Survey of Medical Image 3D Reconstruction. Proceedings SPIE 6534, 5th In-ternational Conference on Photonics and Imaging in Biology and Medicine, Wuhan, 65342K.
[2] Stalling, D., Wester-hoff, M. and Hege, H.C. (2005) Amira: A Highly Interactive System for Visual Data Analysis. Visualization Handbook, 27, 749-767. [Google Scholar] [CrossRef
[3] Materialise (2018) 3D Medical Image Processing Software|Materialise Mimics. http://www.materialise.com/zh-hans/medical/software/mimics
[4] Putanowicz, R. (2007) Visualization of Large Data Sets by Mixing Tcl and C++ Interfaces to the VTK Library. Pergamon Press, Inc., Oxford.
[5] Yoo, T.S., Ackerman, M.J., Lorensen, W.E., Schroeder, W., Chalana, V., Aylward, S., et al. (2002) Engineering and Algorithm Design for an Image Processing Api: A Technical Report on Itk—The Insight TOOLKIT. Stud Health Technol Inform, 85, 586-592.
[6] German Cancer Research Center (2018) The Medical Imaging Interaction Toolkit (MITK). http://mitk.org/wiki/MITK
[7] Khronos Group (2018) OpenGL—The Industry Standard for High Performance Graphics.
https://www.opengl.org/
[8] W3C (2018) HTML5: A Vocabulary and Associated APIs for HTML and XHTML. http://www.w3.org/TR/html5/
[9] Khronos Group (2018) Webgl-Opengles 2.0 for the Web. http://www.khronos.org/webgl/
[10] Zhang, Q., Eagleson, R. and Peters, T.M. (2011) Volume Visualization: A Tech-nical Overview with a Focus on Medical Applications. Journal of Digital Imaging, 24, 640-664. [Google Scholar] [CrossRef] [PubMed]
[11] Ginsburg and Dan (2009) The OpenGL ES 2.0 Programming Guide. Addison-Wesley, Boston.
[12] Arbelaiz, A., Moreno, A., Kabongo, L. and García-Alonso, A. (2017) Volume Visualization Tools for Medical Applications in Ubiquitous Platforms. eHealth 360°. Springer International Publishing, Berlin.