Information
- Replaced by: grimm-2004-memory
- Publication Type: Technical Report
- Workgroup(s)/Project(s): not specified
- Date: November 2003
- Number: TR-186-2-03-11
- Keywords: Visible line/surface algorithms, Raytracing, Three-Dimensional graphics and realism
Abstract
Most CPU-based volume raycasting approaches achieve high performance by advanced memory layouts, space subdivision, and excessive pre-computing. Such approaches typically need an enormous amount of memory. They are limited to sizes which do not satisfy the medical data used in daily clinical routine. We present a new volume raycasting approach based on image-ordered raycasting with object-ordered processing, which is able to perform high-quality rendering of very large medical data in real-time on commodity computers. For large medical data such as the Visible Male (587x341x1878) we achieve rendering times up to 2.5 fps on a commodity notebook. We achieve this by introducing a memory efficient acceleration technique for on-the-fly gradient estimation and a memory efficient hybrid removal and skipping technique of transparent regions. We employ quantized binary histograms, granular resolution octrees, and a cell invisibility cache. These acceleration structures require a small extra storage of approximately 10%.Additional Files and Images
Weblinks
No further information available.BibTeX
@techreport{Grimm-2003-CPU, title = "Memory Efficient Acceleration Structures and Techniques for CPU-based Volume Raycasting of Large Data", author = "S\"{o}ren Grimm and Stefan Bruckner and Armin Kanitsar and Eduard Gr\"{o}ller", year = "2003", abstract = "Most CPU-based volume raycasting approaches achieve high performance by advanced memory layouts, space subdivision, and excessive pre-computing. Such approaches typically need an enormous amount of memory. They are limited to sizes which do not satisfy the medical data used in daily clinical routine. We present a new volume raycasting approach based on image-ordered raycasting with object-ordered processing, which is able to perform high-quality rendering of very large medical data in real-time on commodity computers. For large medical data such as the Visible Male (587x341x1878) we achieve rendering times up to 2.5 fps on a commodity notebook. We achieve this by introducing a memory efficient acceleration technique for on-the-fly gradient estimation and a memory efficient hybrid removal and skipping technique of transparent regions. We employ quantized binary histograms, granular resolution octrees, and a cell invisibility cache. These acceleration structures require a small extra storage of approximately 10%.", month = nov, number = "TR-186-2-03-11", address = "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria", institution = "Institute of Computer Graphics and Algorithms, Vienna University of Technology ", note = "human contact: technical-report@cg.tuwien.ac.at", keywords = "Visible line/surface algorithms, Raytracing, Three-Dimensional graphics and realism", URL = "https://www.cg.tuwien.ac.at/research/publications/2003/Grimm-2003-CPU/", }