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考虑旋转中心标定误差的中子偏置计算机断层扫描成像方法

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中子偏置CT(computed tomography)扫描是一种有效的大尺寸样品层析检测方法,但投影数据截断会导致较大的CT系统转台旋转中心标定误差,严重影响成像质量。基于投影数据对称性原理,提出了一种计算旋转中心左侧和右侧投影数据和之间方差的偏置CT扫描旋转中心精确标定算法。设计了对称补数据重建算法和投影数据预处理重建算法,验证得到,对称补数据重建算法对旋转中心标定误差更为敏感,较小的误差值会导致补齐后投影数据出现拼接缝以及拼接错位问题。提出了一种中子投影数据噪声仿真方法,设计的三维仿真模体验证了所提标定算法与投影数据预处理重建算法在不同旋转中心偏置大小以及不同强度投影噪声条件下的性能优势。基于反应堆中子源开展了中子偏置CT扫描成像验证实验,获得了样品清晰的内外部结构细节,中子CT成像系统的成像视野扩大了31。4%。
Neutron Displaced Computed Tomography Scanning Imaging Method Considering Calibration Error of Center of Rotation
Objective Neutron displaced CT(computed tomography)scanning is an effective tomography detection method for large-sized samples,but the truncated projection data leads to significant calibration errors of the center of rotation(COR)of the turntable in the CT system,seriously affecting imaging quality.We consider the COR calibration error during the design of the neutron displaced CT scanning imaging method.A COR calibration algorithm of the turntable under the displaced CT scanning is designed.Then,the symmetric complementary data(SCD)reconstruction algorithm and the projection data preprocessing(PDP)reconstruction algorithm are established.The sensitivities of the reconstruction accuracy of the two reconstruction algorithms to the COR calibration error are discussed.We hope that the proposed COR calibration algorithm and the reconstruction algorithm under the neutron displaced CT scanning mode can lay a theoretical foundation for solving the neutron CT imaging problem of large-sized samples.Methods A precise COR calibration method under the neutron displaced CT scanning mode is established.The calibration algorithm based on the symmetry principle of projection data is designed.Each possible COR position is enumerated,and the variances between the sum of the projection data on the left and the right sides of the COR are calculated.Finally,the COR result is determined by finding the location where the variance has the minimum value.Under the displaced CT scanning mode,the truncation and redundant characteristics of projection data will result in bright circular artifacts in the reconstructed images.We design two reconstruction algorithms to eliminate the bright circular artifacts,namely SCD reconstruction algorithm and PDP reconstruction algorithm.SCD reconstruction algorithm supply the missing projection data under displaced scanning mode by using the principle of symmetric complementary data and then use the filtered back projection(FBP)algorithm to obtain the accurate reconstruction result.PDP reconstruction algorithm utilize the WANG weighting function to process sinogram data.In order to eliminate the bright circular artifacts in the reconstructed image,the redundant projection values are weighted to ensure that the projection data from all directions contribute the same data amount to the reconstruction results.A simulation method of neutron projection noise including Gaussian noise and y white spot noise is proposed,and a 3D simulation phantom is designed to verify the performance advantages of the proposed COR calibration algorithm and PDP reconstruction algorithm under different COR displaced sizes and projection noise intensities.A neutron displaced CT scanning imaging experiment is conducted based on the reactor neutron source to verify the practicality and stability of the proposed COR calibration algorithm and the reconstruction algorithm.Results and Discussions By using the designed 3D simulation phantom,it can be verified that the proposed COR calibration algorithm has a calibration error of 0.1.After adding Gaussian noise and y white spot noise to the projection data of the 3D simulation phantom,the noise in the projection image is similar to the actual neutron data.As the noise intensity increases,the COR calculation error of the OAC(opposite angle calibration)algorithm significantly increases,but the COR calibration error of the proposed method does not increase(Table 2).Therefore,it can be proven that the proposed COR calibration algorithm has higher accuracy and stability.When the COR displaced size changes,the calibration error of the COR does not significantly increase.When the COR calibration error reaches two pixels,the reconstruction results of SCD reconstruction algorithm show certain image artifacts,resulting in distortion of the detailed structure in the reconstructed image.Additionally,due to the influence of stitching and misalignment,the reconstructed image also shows certain stripe artifacts(Fig.8).The reconstruction results obtained by PDP reconstruction algorithm have stronger image detail resolution and higher reconstructed image quality(Fig.9).When the projection has Gaussian noise and γ white spot noise,the reconstruction results obtained by PDP reconstruction algorithm are also better than those obtained by SCD reconstruction algorithm(Fig.10).Moreover,PDP reconstruction algorithm can also achieve good reconstruction results when the COR displaced size changes(Fig.11).Based on the reactor neutron source of China Academy of Engineering Physics,a neutron displaced CT scanning experiment is carried out,and clear internal and external structural details of the sample are obtained.The imaging field of the neutron CT system is expanded by 31.4%.Conclusions We design a neutron displaced CT scanning imaging method for large-sized samples and a COR calibration algorithm under the neutron displaced CT scanning based on the symmetry principle of projection data.The proposed COR calibration algorithm has the advantages of high measurement accuracy and strong anti-noise ability.Two neutron displaced CT scanning reconstruction algorithms are developed.SCD reconstruction algorithm is more sensitive to COR calibration errors.A smaller error can lead to stitching and misalignment issues in the supplemented projection data,thereby affecting the quality of image reconstruction.PDP reconstruction algorithm has a strong tolerance for the COR calibration error and can obtain higher reconstructed image quality.The 3D simulation phantom verifies the performance advantages of the proposed calibration algorithm and PDP reconstruction algorithm under different COR displaced sizes and projection noise intensities.In addition,the neutron displaced CT scanning experiment prove that the proposed COR calibration algorithm and PDP reconstruction algorithm have significant engineering practical values,laying a theoretical foundation for solving the problem of neutron CT imaging of large-sized samples.

computed tomography scanning imagingimage reconstruction technologyneutrondisplaced scanningcenter of rotation

林强、马泽明、刘斌、王文健、丁昊昊、杨民

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西南交通大学轨道交通运载系统全国重点实验室摩擦学研究所,四川成都 610031

西南交通大学唐山研究院,河北唐山 063000

中国工程物理研究院核物理与化学研究所,四川绵阳 621900

北京航空航天大学机械工程及自动化学院,北京 100191

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计算机断层扫描成像 图像重建技术 中子 偏置扫描 旋转中心

国家重点研发计划国家自然科学基金国家自然科学基金四川省自然科学基金

2022YFA160400052205578522278022023NS-FSC0875

2024

光学学报
中国光学学会 中国科学院上海光学精密机械研究所

光学学报

CSTPCD北大核心
影响因子:1.931
ISSN:0253-2239
年,卷(期):2024.44(3)
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