Study On Image Reconstruction Of Dose Distribution In Intense Pulsed Gamma Radiation Field

With the rapid development of radiation image reconstruction technology in polymer materials,environmental science,biotechnology,medicine and other fields,the quality of radiation image will affect the accuracy of experimental results in many fields.An important means to improve image quality is to improve image reconstruction algorithm.Compared with other image reconstruction algorithms,radiation image reconstruction algorithm has irreplaceable advantages.According to the special requirements of different fields,the reconstructed image algorithms are often applied to both conventional environment and radiation environment.Many image reconstruction algorithms can be used normally in the conventional environment.However,in the radiation environment,these image reconstruction algorithms will have various problems,such as distortion and loss of reconstructed images,which will lead to inaccurate experimental results.Therefore,in the radiation environment,only the radiation image reconstruction algorithm can be used to ensure the accuracy of the reconstructed image results.Based on the radiation environment provided by "qiangguang-1" accelerator as the experimental platform,and taking the dose distribution image of intense pulse gamma radiation field as the research object,this paper studies the radiation image reconstruction technology,focusing on the image reconstruction algorithm,so as to provide accurate dose intensity distribution of radiation field for radiation reconstruction technology.The intensity distribution of radiation dose field is an important parameter to be provided for the simulation and experiment of intense pulse radiation environment.In the simulation and experiment of intense pulse radiation,due to various scattering effects of laboratory environment,the signal at the source end will be transmitted to the image end,resulting in the distortion of the image on the image end imaging board.At the same time,the experimental process will be accompanied by the existence of point spread function and noise,Finally,the actual measured radiation dose field intensity distribution image is a distorted and degraded image.It is necessary to establish a degradation model and obtain the appropriate incident angle of point spread function,noise and distorted image through simulation calculation and experimental verification.According to the experimental environment,on the basis of obtaining the image degradation factors,the degraded image is reconstructed,which is essentially the reverse derivation of the image degradation process,and the improved sparse regularization algorithm based on total variation is used for image reconstruction.Aiming at the image degradation of radiation dose field intensity distribution caused by inclined pinhole imaging system,point spread function adjoint and noise in intense pulse radiation field,a degradation model with reconstruction significance is established based on the above degradation mechanism.Based on the research of various algorithms suitable for conventional environment,a set of reconstruction algorithm suitable for dose intensity distribution image of intense pulse gamma radiation field is established.The reconstruction algorithm can not only be applied to various radiation environments,but also can be used in many fields related to radiation technology.It can also be applied in conventional environment,which improves the applicability of the algorithm.From the degradation mechanism to the establishment of degradation model,and then to the reconstruction of image,the algorithm improves the accuracy of radiation diagnosis technology and enhances the applicability of the algorithm.