3D Grain Reconstruction from Boxscan Data
3D Grain Reconstruction from Boxscan Data
复制标题
根据 Boxscan 数据重建 3D 颗粒
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
E. Lauridsen
中科院分区：
文献类型：
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作者：
A. Lyckegaard;A. Alpers;W. Ludwig;R. Fonda;L. Margulies;A. Goetz;H. O. Soerensen;S. Dey;H. Poulsen;E. Lauridsen
文摘：提出了一种从远场衍射数据重建多晶体中单晶的三维形状的方法。重建是使用迭代算法--代数重建技术(ART)来执行的，以求解从Boxcan技术的数据获得的线性方程组。盒子扫描技术是一种3D X射线衍射式扫描技术，在几何层析成像方面，它提供物体的二维X射线作为数据。在这篇论文中，我们报道了第一个实验性的基于贝塔钛样品的三维颗粒形状重建。通过与高分辨率相衬断层成像的比较，我们发现对于17微米的颗粒半径，该样品中晶界位置的平均误差为2.7微米。这一结果与目前的其他方法相似。
Abstract : A method for reconstructing the 3D shape of a single grain in a polycrystal from far-field-diffraction data is presented. The reconstruction is performed using an iterative algorithm, algebraic reconstruction technique (ART), to solve a linear system of equations obtained from data from the Boxscan technique. The Boxscan technique is a 3D X-ray diffraction-type scanning technique, which - in geometric tomography terms - provides 2-dimensional X-rays of the object as data. In this paper, we report on the first experimental 3D grain shape reconstruction based on a beta-titanium sample. By comparing our results to high-resolution phase contrast tomography, we find that the average error on the position of the grain boundary in this sample is 2.7 micrometers for a grain radius of 17 micrometers. This result is similar to other current methods.