Abstract: The data reconstruction and visualization of different radiation field distribution types were carried out by interpolation calculation method based on Kriging theory, such as uniform mesh, random arrangement, and so on. The reconstruction results were compared with the commonly used inverse distance weighted interpolation method. The different interpolation methods were used to analyze the effect of reconstruction accuracy and visual display for the radiation field. The results show that for most cases, the Kriging interpolation method is superior to the inverse distance weighted interpolation method in the accuracy of the radiation field reconstruction and the visual display. The deviation between original data and the results of the Kriging interpolation method in the example is within 10%, and the deviation between original data and the results of the IDW is basically above 15%. However, in the region where the gradient of the radiation dose field is large and the known data is very few, the result of the Kriging interpolation method will be biased greatly. In the case where the source position coincides with the interpolation point, the calculation result of the Kriging interpolation method near the source will be biased. In this case, IDW interpolation can be used as a supplement and used comprehensively. The research work in this paper verifies the application potential of Kriging interpolation in radiation field reconstruction and visualization, which provides a technical support for promoting the development of radiation field and dose visualization simulation technology.

Key words: dose field reconstruction, dose calculation, Kriging theory, visualization, interpolation algorithm