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
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