Virtual simulation of nuclear radiation based on improved ray casting
The visualization of nuclear radiation is of significant importance for the planning, safety assessment, and educational training of nuclear facilities. Traditional nuclear radiation visualization methods rely on simplified geometric models and limited perspectives, making it difficult to provide sufficient details and a comprehensive visual experience. This paper proposes a ray casting-based volume rendering technique for high-precision visualization of nuclear radiation virtual simulation. By combining inverse distance weighting (IDW), our method can achieve real-time, high-quality rendering of complex nuclear radiation scenarios. Firstly, we introduced the basic principles of ray casting and volume rendering techniques, with a focus on discussing their application challenges and solutions in nuclear radiation data visualization. Then, through a series of simulation experiments, we validated the advantages of IDW in rendering efficiency and visual effects. The experimental results show that, compared to traditional ray casting algorithms, our method can more accurately reflect the spatial distribution characteristics of the nuclear radiation field and provide richer visual information. Lastly, we explore the application prospects of ray casting-based volume rendering technology in areas such as nuclear radiation safety assessment, facility design, and educational training. This paper not only provides an effective technical path for the high-quality visualization of nuclear radiation environments, but also offers new tools and ideas for researchers and engineers in related fields.
Authors
- Yu Tao (ORCID: https://orcid.org/0000-0002-5809-9635)
- Zhenping Chen
- Jichong Lei (ORCID: https://orcid.org/0000-0002-0380-2792)
- Kai Zhang (ORCID: https://orcid.org/0000-0001-7518-5466)
Institutions
- South China University of Technology (CN)
- University of South China (CN)
Publication Details
- Published
- 2024-08-05
- DOI
- https://doi.org/10.1117/12.3038325
- Primary Topic
- Computer Graphics and Visualization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00