Chenxi Huang
A novel WebVR-Based lightweight framework for virtual visualization of blood vasculum
Huang, Chenxi; Zhou, Wen; Lan, Yisha; Chen, Fei; Hao, Yongtao; Cheng, Yongqiang; Peng, Yonghong
Authors
Wen Zhou
Yisha Lan
Fei Chen
Yongtao Hao
Yongqiang Cheng
Yonghong Peng
Abstract
With the arrival of the Web 2.0 era and the rapid development of virtual reality (VR) technology in recent years, WebVR technology has emerged as the combination of Web 2.0 and VR. Moreover, the concept of “WebVR + medical science”is also proposed to advance medical applications. However, due to the limited storage space and low computing capability of Web browsers, it is difficult to achieve real-time rendering of large-scale medical vascular models on the Web, let alone large-scale vascular animation simulations. The framework proposed in this paper can achieve virtual display of the medical blood vasculum, including lightweight processing of the vasculum and virtual realization of blood flow. This innovative framework presents a simulation algorithm for the virtual blood path based on the Catmull-Rom spline. The mechanisms of progressive compression and online recovery of the lightweight vascular structure are further proposed. The experimental results show that our framework has a shorter browser-side response time than existing methods and achieves efficient real-time simulation.
Citation
Huang, C., Zhou, W., Lan, Y., Chen, F., Hao, Y., Cheng, Y., & Peng, Y. (2018). A novel WebVR-Based lightweight framework for virtual visualization of blood vasculum. IEEE Access, 6, 27726-27735. https://doi.org/10.1109/ACCESS.2018.2840494
Journal Article Type | Article |
---|---|
Acceptance Date | May 23, 2018 |
Publication Date | May 25, 2018 |
Deposit Date | Jul 19, 2018 |
Publicly Available Date | Jul 20, 2018 |
Journal | IEEE Access |
Electronic ISSN | 2169-3536 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 6 |
Pages | 27726-27735 |
DOI | https://doi.org/10.1109/ACCESS.2018.2840494 |
Keywords | General Engineering; General Materials Science; General Computer Science |
Public URL | https://hull-repository.worktribe.com/output/937022 |
Publisher URL | https://ieeexplore.ieee.org/document/8365682/ |
Contract Date | Jul 20, 2018 |
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