Reconstruction And 3D Display Of Radiation Source In Augmented Reality

With the increasing application of nuclear power and nuclear technology in military,nuclear energy,medical treatment,research and other fields,a large number of different types of radioactive solid waste had been producing in nuclear fuel plant,reactor,military facilities,hospitals and research institutions.The rapid and accurate determination of the distribution,location and dosage of radioactive wastes was of great significance for safe operation of nuclear facilities,assessment and treatment.In view of the fact that fewer gamma camera projection data could be obtained in actual radiation source measurements,the lack of surface structure of the radioactive source container or the radioactive environment in the reconstructed result,and the difficulty in the determination of the position and angle of the mobile gamma camera,two kinds of radioactive source detection schemes are proposed,which are stationary radioactive waste detection system and mobile radioactive waste detection system.The stationary radioactive source detection system is used for the detection of the radioactive source in the container and the 3D reconstruction of the container surface model.The mobile radioactive source detection system is used for the discrete radioactive source detection and the three-dimensional reconstruction of the radioactive source environment scene model.The radiation source detection system is composed of two parts:the tomography reconstruction of radioactive sources,the reconstruction and positioning of stereoscopic vision.For the detected sparse projection data,a sparse reconstruction technique based on Compressed Sensing was used to reconstruct the 3D distribution of the unknown sources inside the metal barrel.According to the reconstruction of two sets of projection data from the real sources and simulated sources,the results show that the iterative reconstruction model can accurately reconstruct the radiation sources’ 3D position,shape,relative intensity in the sparse projection conditions,and achieves quantitative 3D reconstruction of the radiation source in the metal barrel.This study proposed to reconstruct the model of a radioactive source container or a radioactive source environment using computer vision algorithms.A fusion display of the silhouette of a radioactive source container model or the scene of an environment and the location,shape,relative intensity,etc.of a radioactive source.For the mobile detection system,binocular camera trajectory is estimated through the stereo vision technology,which complete the indirect measurement of the gamma camera.The results show that the stereo vision algorithm can reconstruct and render three-dimensional rendering of the source container or the environment scene,and can achieve the three-dimensional mixed rendering and display of the outline of the source container or the contour of the scene and the simulated radioactive source.For the mobile detection system,the true position and rotation angle of the binocular camera can be calculated to complete the multi-modal fusion of the reconstruction system of the radioactive source and the stereoscopic vision system.This research solves the projection sparse problem in radioactive source reconstruction.The fusion technology of radiological source tomography and stereoscopic imaging technology is proposed for the first time.The study has an important engineering application value in the detection of radioactive sources.