DocumentCode :
1933739
Title :
Perception-aware Depth Cueing for Illustrative Vascular Visualization
Author :
Chu, Alan ; Chan, Wing-Yin ; Guo, Jixiang ; Pang, Wai-Man ; Heng, Pheng-Ann
Author_Institution :
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Hong Kong
Volume :
1
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
341
Lastpage :
346
Abstract :
Illustrative visualization of complex vasculature has been one of the indispensable components in medical education and training. In this paper, we propose a rendering pipeline which incorporates various perception-aware techniques for informative vascular illustration. Chromostereopsis rendering, isophote-based line hatching, and enhanced silhouette drawing have been integrated seamlessly through multiple shader passes. With advanced GPU acceleration techniques including render to texture (RTT), framebuffer object (FBO) and fast image convolution, a real-time frame-rate can be achieved.
Keywords :
biomedical MRI; bone; computerised tomography; data visualisation; image texture; medical image processing; real-time systems; realistic images; rendering (computer graphics); 3D angiographic dataset; GPU acceleration techniques; chromostereopsis rendering; computed tomography angiography; enhanced silhouette drawing; fast image convolution; framebuffer object; illustrative vascular visualization; isophote-based line hatching; magnetic resonance angiography; perception-aware depth cueing; perception-aware techniques; real-time frame-rate; real-time rendering pipeline; render to texture technique; vessel skeleton; Acceleration; Biomedical engineering; Biomedical imaging; Data visualization; Humans; Medical diagnostic imaging; Pipelines; Rendering (computer graphics); Shape; Skeleton; GPU Rendering and Visualization; Medical Visualization and Modelin; Non-Photorealistic Rendering; Scientific Illustration; Visualization Applications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
Type :
conf
DOI :
10.1109/BMEI.2008.347
Filename :
4548689
Link To Document :
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