扁平样品体系的同步辐射层析成像检测技术
Synchrotron radiation laminography for flat sample system
张迪菲 1姚玉东 1江怀东1
作者信息
- 1. 上海科技大学科学与技术物质学院,上海 201210;上海科技大学大科学中心,上海 201210
- 折叠
摘要
利用同步辐射X射线高穿透性、高亮度等特点,结合三维重建方法,可以实现样品的三维无损成像,该技术在生物、材料、化学等领域发挥着重要作用.针对扁平样品体系,计算机断层成像(computed tomography,CT)这种常规的三维成像方法,由于其高角度信息缺失,无法实现兼顾尺寸与分辨率的无损高精度成像.近年来再次发展起来的计算机层析成像(computed laminography,CL)可以满足对扁平样品的高精度三维成像的需求.然而,当前的三维重建方法需要足够多的投影数目才能实现高质量重建.文章在已有的三维重建算法的基础上,发展了一种针对CL的傅里叶迭代重建算法(laminography Fourier iterative algorithm,LFIA),在投影角度有限的情况下,利用投影之间的相关信息恢复缺失信息,从而实现更高的重建分辨率,并通过模拟与实验验证算法的可行性.
Abstract
Using the characteristics of synchrotron radiation X-ray,such as high penetrability and brightness,non-destructive three-dimensional(3D)imaging of samples significantly impacts the fields including biology,materials science,and chemistry,in conjunction with the iterative reconstruction method.In flat sample systems,conventional iterative reconstruction methods like computed tomography(CT)encounter challenges in imaging size and resolution due to the high-angle missing wedge.Computed laminography(CL)has reintroduced in recent years,addressing the challenge of 3D imaging for flat samples.This paper develops a laminography Fourier iterative algorithm(LFIA)for CL,building upon the existing CT iterative reconstruction algorithm.The LFIA demonstrates superior reconstruction resolution compared to the traditional real-space iterative algorithm,and verifies through simulation and experimentation.
关键词
同步辐射X射线成像/计算机层析成像/傅里叶迭代算法Key words
synchrotron radiation X-ray imaging/computed laminography/Fourier iterative algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据