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Proceedings Paper

An efficient out-of-core volume ray casting method for the visualization of large medical data sets
Author(s): Jian Xue; Jie Tian; Jian Chen; Yakang Dai
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Paper Abstract

Volume ray casting algorithm is widely recognized for high quality volume visualization. However, when rendering very large volume data sets, the original ray casting algorithm will lead to very inefficient random accesses in disk and make it very slowly to render the whole volume data set. In order to solve this problem, an efficient out-of-core volume ray casting method with a new out-of-core framework for processing large volume data sets based on consumer PC hardware is proposed in this paper. The new framework gives a transparent and efficient access to the volume data set cached in disk, while the new volume ray casting method minimizes the data exchange between hard disk and physical memory and performs comparatively fast high quality volume rendering. The experimental results indicate that the new method and framework are effective and efficient for the visualization of very large medical data sets.

Paper Details

Date Published: 3 April 2007
PDF: 8 pages
Proc. SPIE 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures, 650920 (3 April 2007); doi: 10.1117/12.709633
Show Author Affiliations
Jian Xue, Institute of Automation (China)
Jie Tian, Institute of Automation (China)
Graduate School of the Chinese Academy of Sciences (China)
Jian Chen, Institute of Automation (China)
Yakang Dai, Institute of Automation (China)

Published in SPIE Proceedings Vol. 6509:
Medical Imaging 2007: Visualization and Image-Guided Procedures
Kevin R. Cleary; Michael I. Miga, Editor(s)

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