Real-time rendering of 3D medical data sets

Authors:
Kai Xie;Jie Yang;Y. M. Zhu
Affiliations:
Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, 200030 Shanghai, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, 200030 Shanghai, China;CREATIS, CNRS Research Unit 5515 and INSERM Unit 630, 69621 Villeurbanne, France
Venue:
Future Generation Computer Systems - Special issue: High-speed networks and services for data-intensive grids: The DataTAG project
Year:
2005

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Abstract

Interactive exploration of three dimension (3D) medical data sets is required by many applications, but the huge amount of computational time and storage space needed for rendering do not allow the visualization of large medical data sets by now. In this paper we present a new algorithm for rendering large medical data sets at interactive frame rates on standard PC hardware. The input data is converted into a compressed hierarchical wavelet representation in a preprocessing step. During rendering, the wavelet representation is decompressed on-the-fly and rendered using hardware texture mapping. The level of detail used for rendering is adapted to the local frequency spectrum of the data and its position relative to the viewer. Using a prototype implementation of the algorithm we were able to perform an interactive walkthrough of large medical data sets on a single of-the-shelf PC.