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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Virtual simulation of nuclear radiation based on improved ray casting

Yu Tao, Zhenping Chen, Jichong Lei, Kai Zhang
Computer Graphics and Visualization Techniques
article

Virtual simulation of nuclear radiation based on improved ray casting

Yu Tao, Zhenping Chen, Jichong Lei, Kai Zhang
article en

Abstract

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.

South China University of Technology (CN), University of South China (CN)
Affordable and clean energy
Openalex Percentile: Top 76%
Computer Graphics and Visualization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.