Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 2nd International Conference on Biomedical Engineering and Biotechnology, 11–13 October 2013, Wuhan, China
Article type: Research Article
Authors: Hong, Qingqi | Wang, Beizhan | Li, Qingde | Li, Yan; | Wu, Qingqiang;
Affiliations: Software School, Xiamen University, Xiamen, 361005, China | Department of Computer Science, University of Hull, HU6 7RX, Hull, UK | School of Management, Xiamen University, Xiamen, 361005, China
Note: [] Corresponding authors: Qingqiang Wu, Software School, Xiamen University, Xiamen, 361005, China, E-mail: [email protected]; Yan Li, School of Management, Xiamen University, Xiamen, 361005, China, E-mail: [email protected]
Note: [] Corresponding authors: Qingqiang Wu, Software School, Xiamen University, Xiamen, 361005, China, E-mail: [email protected]; Yan Li, School of Management, Xiamen University, Xiamen, 361005, China, E-mail: [email protected]
Abstract: With the flooding datasets of medical Computed Tomography (CT) and Magnetic Resonance Imaging (MRI), implicit modeling techniques are increasingly applied to reconstruct the human organs, especially the vasculature. However, displaying implicitly represented geometric objects arises heavy computational burden. In this study, a Graphics Processing Unit (GPU) accelerating technique was developed for high performance rendering of implicitly represented objects, especially the vasculatures. The experimental results suggested that the rendering performance was greatly enhanced via exploiting the advantages of modern GPUs.
Keywords: GPU accelerating techniques, implicit surfaces, rendering, vascular structures
DOI: 10.3233/BME-130938
Journal: Bio-Medical Materials and Engineering, vol. 24, no. 1, pp. 1351-1357, 2014
