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Proceedings Paper

3D medical data visualization using SVG
Author(s): Seungwan Kim; Deokgyu Park; Oubong Gwun; Kun Lee
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Paper Abstract

New technologies, such as mobile internet, and handheld computing device offer everyone new opportunities to use medical image data regardless of time and places. But the limited resources in a mobile environment compose a major problem to represent medical data visually in 3 dimensions. This paper proposes a server side system for providing medical visualization service on the web using SVG to counteract the limited resource problem. The web offers great promise for delivery of anatomical information once we have solutions to some of the economic and bandwidth problems. These potential benefits include widespread access, essentially unlimited content, flexibility in presentation format, and an organizational frame work for other web-based medical information. SVG is an API for graphical applications with an XML-based file format, powerful scripting, and event support. It allows for three types of graphic objects; vector graphics shapes, images, text with very compact expression. It can be used as a platform in which we can build graphically rich applications and user interfaces like 3D medical data visualization system. The web server is connected to database 3D anatomical organs reconstructed from the Visual Human by polygon mesh through Marching cubes algorithm. 3D anatomical organs are stored into the database with multiresolution. The web server accepts commands from web clients, and processes them. The anatomical organs are presented by SVG, combined with each other or with planar slices and become structured anatomical scenes. The resolution of the anatomical scenes is to fit to the screen of the web clients. The anatomical scenes generated by the web server are encoded on-the-fly by an encode module and sent through the network. The data is received, decoded, and displayed on the clients. User interactions with the graphic interface on the clients’ side are made. The anatomical scenes are visualized with symbolic knowledge and data. The anatomical scenes generated by the web server are encoded on-the-fly by an encode module and sent through the network. The data is received, decoded, and displayed on the clients. Especially SVG have a set of 15 types of filters, which can be combined into a dataflow filter network applied to primitives. The paper explores the usability of the filters in visualizing anatomical organs for medical education. The final goal of the present system is to have the medical image be available on professionals and students in medicine or the related area with handheld computing device. The present system provides more flexible access and medical image data visualization with them by using the power of the Web and SVG technique.

Paper Details

Date Published: 17 January 2005
PDF: 11 pages
Proc. SPIE 5670, Internet Imaging VI, (17 January 2005); doi: 10.1117/12.587402
Show Author Affiliations
Seungwan Kim, Chonbuk National Univ. (South Korea)
Deokgyu Park, Chonbuk National Univ. (South Korea)
Oubong Gwun, Chonbuk National Univ. (South Korea)
Kun Lee, Handong Univ. (South Korea)


Published in SPIE Proceedings Vol. 5670:
Internet Imaging VI
Simone Santini; Raimondo Schettini; Theo Gevers, Editor(s)

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