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快中子层析成像与锥束几何三维重建算法研究

邢胜玉 卢棚 刘源煜 李佳 梁立振 洪兵

哈尔滨商业大学学报(自然科学版)2026,Vol.42Issue(1):51-58,8.
哈尔滨商业大学学报(自然科学版)2026,Vol.42Issue(1):51-58,8.

快中子层析成像与锥束几何三维重建算法研究

Study of fast neutron tomography and 3D reconstruction with cone beam geometry

邢胜玉 1卢棚 2刘源煜 2李佳 3梁立振 2洪兵2

作者信息

  • 1. 安徽理工大学计算机科学与工程学院,安徽淮南 232001||合肥综合性国家科学中心能源研究院(安徽能源实验室)中子技术应用研究中心,合肥 230031
  • 2. 合肥综合性国家科学中心能源研究院(安徽能源实验室)中子技术应用研究中心,合肥 230031
  • 3. 中国科学技术大学核科学技术学院,合肥 230022
  • 折叠

摘要

Abstract

Neutron tomography uses the characteristics of neutron-transmitted objects to reconstruct images based on neutron transmission intensity information and analyze internal structures.This paper focused on the reconstruction of neutron tomography images with three-dimensional cone-beam geometry.Fast neutron transmission data were obtained through particle transport program simulation.Image reconstruction was performed using the filtered back-projection algorithm(FDK),simultaneous algebraic reconstruction(SART),ordered subset simultaneous algebraic reconstruction(OSSART),simultaneous iterative reconstruction(SIRT),and least squares QR decomposition(LSQR)algorithms.The image reconstruction effects of various algorithms with different numbers of projection angles were compared and analyzed using indicators such as the structural similarity index(SSIM).The results showed that under different numbers of projection images,the reconstruction efficiency of the FDK algorithm was significantly better than that of the iterative algorithm;in sparse projection scenes,the comprehensive performance of the SIRT algorithm was relatively good.The study laid a foundation for the subsequent optimization of fast neutron three-dimensional reconstruction algorithms.

关键词

快中子/锥束几何/迭代算法/三维重建/FDK

Key words

fast neutrons/cone beam geometry/iterative algorithms/three-dimensional reconstruction/FDK

分类

能源科技

引用本文复制引用

邢胜玉,卢棚,刘源煜,李佳,梁立振,洪兵..快中子层析成像与锥束几何三维重建算法研究[J].哈尔滨商业大学学报(自然科学版),2026,42(1):51-58,8.

基金项目

自主立项项目:面向癌症治疗的紧凑型硼中子俘获治疗技术开发及产业应用(21KZS202) (21KZS202)

哈尔滨商业大学学报(自然科学版)

1672-0946

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