GPU accelerating technique for rendering implicitly represented vasculatures

Hong, Qingqi; Wang, Beizhan; Li, Qingde; Li, Yan; Wu, Qingqiang

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. © 2014 - IOS Press and the authors. All rights reserved.

Citation

Hong, Q., Wang, B., Li, Q., Li, Y., & Wu, Q. GPU accelerating technique for rendering implicitly represented vasculatures. Presented at 2nd International Conference on Biomedical Engineering and Biotechnology, Wuhan, China

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2nd International Conference on Biomedical Engineering and Biotechnology
• Acceptance Date: Oct 13, 2013
• Publication Date: Jan 1, 2014
• Deposit Date: Feb 1, 2019
• Journal: Bio-Medical Materials and Engineering
• Print ISSN: 0959-2989
• Publisher: IOS Press
• Peer Reviewed: Peer Reviewed
• Volume: 24
• Issue: 1
• Pages: 1351-1357
• DOI: https://doi.org/10.3233/BME-130938
• Keywords: GPU accelerating techniques; Implicit surfaces; Rendering; Vascular structures
• Public URL: https://hull-repository.worktribe.com/output/1262319
• Publisher URL: https://content.iospress.com/articles/bio-medical-materials-and-engineering/bme938