同轴相衬成像中基于约束的三维相位恢复算法  

Constraint-Based Three-Dimensional Phase Retrieval Algorithm of In-Line Phase-Contrast Imaging

作　　者：邱森 张凯[1] 王研[1] 张兵兵 陶冶[1] Qiu Sen;Zhang Kai;Wang Yan;Zhang Bingbing;Tao Ye(Beijing Synchrotron Radiation Facility,Institute of High Energy Physics,Chinese Academy of Sciences,Beijing 100049,China;School of Nuclear Science and Technology,University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院高能物理研究所北京同步辐射装置,北京100049 [2]中国科学院大学核科学与技术学院,北京100049

出　　处：《激光与光电子学进展》2024年第16期251-260,共10页Laser & Optoelectronics Progress

基　　金：国家重点研发计划青年科学家项目(2021YFB3403700);高能同步辐射光源(发改高技[2017]2173号)。

摘　　要：为了提升X射线同轴相位衬度CT成像中三维相位恢复算法的准确性和普适性,提出基于约束的三维衬度传递函数优化算法。该算法在三维空间施加有关样品信息的约束信息,并利用迭代优化算法提升样品的三维相位重建质量。模拟研究结果表明:与传统三维衬度传递函数算法相比,基于约束的三维衬度传递函数算法具有相位重建准确性高、抗噪性能优异、适用范围广等特点。该算法有助于推动X射线同轴相衬CT成像技术在材料科学、生物医学等领域的应用研究。To enhance the accuracy and applicability of a three-dimensional(3D)phase retrieval algorithm in X-ray in-line phase-contrast computed tomography(CT)imaging,this study introduces a constraint-based optimization algorithm for the 3D contrast transfer function.The algorithm imposes constraints associated with sample information in 3D space and uses an iterative optimization method to improve the quality of 3D phase reconstruction.Simulation findings indicate that the constraint-based algorithm demonstrates improved accuracy in phase reconstruction,robust noise resistance,and a broader range of applicability compared with the traditional 3D contrast transfer function algorithm.The algorithm is expected to facilitate the application of X-ray in-line phase contrast CT imaging in various fields,including materials science and biomedical research.

关 键 词：X射线 同轴相衬成像 相位恢复 图像重建 

分 类 号：O434.1[机械工程—光学工程]