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Artifact analysis of a far-field coded-aperture gamma camera extended to partially coded field-of-view

Radiation Detection Technology and Methods 2022年第4期6卷 558-568页

作者： Q.W XLiu Z.Zhang N.Jiang Y.Hou H.Zhang Y.Ji L.Sun Y.Xia Beijing Engineering Research Center of Industrial Spectrum Imaging School of Automation and Electrical EngineeringUniversity of Science and Technology BeijingXueyuan Road StreetBeijing 100083China Beijing Novel Medical Equipment Ltd. Beijing 102206China CNNC High Energy Equipment(Tianjin)Co.Ltd. Tianjin 300300China China Beijing institute of Spacecraft Environment Engineering and Science and Technology on Reliability and Environmental Engineering LaboratoryBeijing 100094China

Purpose coded-aperture gamma cameras play an important role for homeland security *** have limitedﬁeld-of-view(FOV)which is a critical parameter for many *** FOV can be potentially increased by extending it to the penumbra area(partially coded FOV).Methods In this study,we analyzed this artifact phenomenon based on simulating a commercial coded-aperture gamma *** camera uses a modiﬁed uniformly redundant array(MURA)mask with a basic pattern of rank *** opening angle of the basic pattern to the detector center is 26.36◦which is the commonly used non-artifact FOV(NAFOV).In some applications,the radiation source is a far-ﬁeld single-point ***,we extend its FOV to 40◦by including a part of the partially coded area,which is a trade-off between the FOV and image *** calculations and simulation studies were carried *** system matrix was calculated using the Sidden’s *** maximum likelihood expectation maximization(MLEM)reconstruction method was *** and reconstruction results of the point source at different positions were *** second moment of inertia was used as theﬁgure of *** Results show that projections have periodic similarity with a period of NAFOV,and reconstructions also have periodic artifacts,i.e.,fromθtoθ+*** are the most serious at the edge of the *** upper and lower artifacts are more serious than the left and right artifacts due to the difference between the horizontal centerline(tungsten)and vertical centerline(holes expect the center unit)of the *** For a point source with high activity,artifacts can be reduced by increasing the iteration number of the MLEM *** at the edge of NAFOV,the point source can be possibly reconstructed thanks to the large size of the position sensitive detector(PSD)*** noise will signiﬁcantly increase artifacts,which may lead to error locate the point source with low activity a

关键词： Homeland security coded-aperture gamma camera Partially-codedﬁeld-of-view Artifact analysis

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CLSTM-KF reconstruction method for a low-activity moving radiation source localization and tracking with a coded-aperture gamma camera

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Radiation Detection Technology and Methods 2021年第2期5卷 228-237页

作者： Yi Zou Shuang‑Quan Liu Xiao‑Li Sun Yue Yu Mo‑Han Li Chun‑Miao Li Lei Shuai Long Wei Beijing Engineering Research Center of Radiographic Techniques and Equipment Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China School of Nuclear Science and Technology University of Chinese Academy of SciencesBeijing 100049China Jinan Laboratory of Applied Nuclear Science Jinan 250131China

Background Accurate localization of a low-activity moving radiation source plays an important role in nuclear security and *** coded-aperture gamma camera is generally applied to detect a radiation source,but its reconstruction methods may have some limitations when the radiation source is motional and *** The purpose of this paper is to improve the quality of the reconstruction images and the localization accuracy when detecting a low-activity moving radiation source with a gamma *** The CLSTM-KF method consists of the CLSTM network and the Kalman *** CLSTM network is applied to improve the CNR of reconstruction images by making an adaptive superposition for sequential reconstruction images decoded by the correlation analysis *** the CLSTM network,a series of sequential positions would be filtered by the Kalman *** By comparing with the traditional methods of the gamma camera,the CLSTM-KF method performs well in improving both the CNR of reconstruction images and the localization ***,the computation time of the CLSTM-KF method can also meet the application *** In summary,the CLSTM-KF method provides a better choice than the traditional methods in locating and tracking a low-activity moving radiation source.

关键词： Low activity coded-aperture gamma camera Convolutional long short

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