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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

Chenxi Huang

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 Mar 28, 2024
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/

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