摘要:
利用相干x射线衍射成像＂过采样＂采集样品的远场相干衍射图样,结合相位重建迭代算法重建物空间样品信息.三维重建过程中,边界约束条件是相位重建算法中最为关键的部分.本文采用数字模拟的方法,利用灰度值图像作为物空间的样品,研究并实现了边界条件的自动寻找,重建结果显示比以往采用较＂松＂的边界约束更为精确.利用噪声模拟方法,研究了衍射图样中不同噪声类型的滤除对重建结果的影响.研究发现传统的去噪方法在高噪声情况下不能直接应用于相干x射线衍射成像,并找到了适用于相干x射线衍射成像噪声滤除的有效方法.研究表明,此方法能非常有效地降低噪声对重建结果的影响.利用模拟三维纳米金颗粒作为样品,完成了对纳米金颗粒中电子密度分布的三维重建,在有随机噪声的影响下,也得到了很好的重建结果,并找到了成功实现三维重建的噪声限为信噪比不低于27.
Abstract:
In coherent x-ray diffractive imaging,the oversampled far-field diffraction pattern for phase retrieval iterative algorithm is used in order to reconstruct the information about the real space.The support constraint is one of the most important steps of the 3D phase retrieval process.Here we use a small nonperiodic 2D digital image as an object for studying the algorithm of pursuing support constraint automatically and noise correction for different types of noises in the diffraction pattern.We find an efficient method of noise correction while the traditional methods do not work well in the high noise condition.The result shows that this method can be used to reduce the effect effectively for the reconstruction.We also study the 3D reconstruction for the electron density distribution of Au nano-particles.We achieve a good reconstruction separately with and without noise effect in the diffraction pattern and we find that the signal-to-noise ratio should be bigger than 27 for successful 3D reconstruction.
首页
登录
注册
下载: