Paper
12 April 2002 3D visualization of biomedical CT images based on OpenGL and VRML techniques
Meng Yin, Qingming Luo, Fuhua Xia
Author Affiliations +
Proceedings Volume 4536, International Workshop on Photonics and Imaging in Biology and Medicine; (2002) https://doi.org/10.1117/12.462554
Event: International Workshop on Photonics and Imaging in Biology and Medicine, 2001, Wuhan, China
Abstract
Current high-performance computers and advanced image processing capabilities have made the application of three- dimensional visualization objects in biomedical computer tomographic (CT) images facilitate the researches on biomedical engineering greatly. Trying to cooperate with the update technology using Internet, where 3D data are typically stored and processed on powerful servers accessible by using TCP/IP, we should hold the results of the isosurface be applied in medical visualization generally. Furthermore, this project is a future part of PACS system our lab is working on. So in this system we use the 3D file format VRML2.0, which is used through the Web interface for manipulating 3D models. In this program we implemented to generate and modify triangular isosurface meshes by marching cubes algorithm. Then we used OpenGL and MFC techniques to render the isosurface and manipulating voxel data. This software is more adequate visualization of volumetric data. The drawbacks are that 3D image processing on personal computers is rather slow and the set of tools for 3D visualization is limited. However, these limitations have not affected the applicability of this platform for all the tasks needed in elementary experiments in laboratory or data preprocessed.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Meng Yin, Qingming Luo, and Fuhua Xia "3D visualization of biomedical CT images based on OpenGL and VRML techniques", Proc. SPIE 4536, International Workshop on Photonics and Imaging in Biology and Medicine, (12 April 2002); https://doi.org/10.1117/12.462554
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KEYWORDS
3D image processing

3D visualizations

Biomedical optics

Computed tomography

Image visualization

OpenGL

3D modeling

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