Title :
Memory efficient acceleration structures and techniques for CPU-based volume raycasting of large data
Author :
Grimm, Sören ; Bruckner, Stefan ; Kanitsar, A. ; Gröller, Eduard
Author_Institution :
Vienna Univ. of Technol., Austria
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 computed tomographic (CT) angiography run-offs (512 × 512 × 1202) 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 just a small extra storage of approximately 10%.
Keywords :
computerised tomography; medical computing; ray tracing; rendering (computer graphics); CPU-based volume raycasting; cell invisibility cache; computed tomographic angiography; granular resolution octrees; high-quality rendering; image-ordered raycasting; medical data; memory efficient acceleration structures; memory efficient acceleration techniques; object-ordered processing; on-the-fly gradient estimation; quantized binary histograms; Acceleration; Angiography; Biomedical imaging; Computed tomography; Computer graphics; Data visualization; Hardware; High performance computing; Rendering (computer graphics); Space technology; acceleration techniques; large data; volume raycasting;
Conference_Titel :
Volume Visualization and Graphics, 2004 IEEE Symposium on
Print_ISBN :
0-7803-8781-3
DOI :
10.1109/SVVG.2004.8