3D Tensor Reconstruction in X-Ray Dark-Field Tomography
3D Tensor Reconstruction in X-Ray Dark-Field Tomography
复制标题
X 射线暗场断层扫描中的 3D 张量重建
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
A. Maier
中科院分区：
文献类型：
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作者：
Shiyang Hu;C. Riess;J. Hornegger;P. Fischer;F. Bayer;T. Weber;G. Anton;A. Maier
X射线暗场成像是一种新的技术，它提供了结构变化和密度波动的互补信息。它允许在微米尺度上获得物体结构，并且还包含关于这些结构的取向的信息。由于暗场成像可以通过传统的X射线成像系统获得，因此暗场成像在医学诊断方面具有巨大的潜力。然而，在暗场重建中完全恢复3D方向仍然是未探索的。本文在Bayer等提出的零约束暗场重建方法的基础上，提出了一种改进的重建方法，并对重建方法进行了简化。在我们的实验中，一个定义良好的幻影包含代表性的3D方向重建。平均而言，重建体积中的结构方向与地面实况相差9%。在物体的边界内，误差下降到6%。该方法在真实的诊断数据中的应用前景广阔。
X-ray dark-field imaging is a novel technique which provides complementary information on structural variation and density fluctuation. It allows to obtain object structures at micrometer scale and also contains information on the orientation of these structures. Since it can be acquired by a conventional X-ray imaging system, dark-field imaging has great potential for medical diagnosis. However, fully recovering 3D orientations in dark-field reconstruction still remains unexplored. In this paper, we propose an improved reconstruction method based on the zero-constrained dark-field reconstruction by Bayer et al. and a simplified principle axes transformation. A well-defined phantom containing representative 3D orientations is reconstructed in our experiment. On average, the structure orientations in the reconstructed volume differ from the ground truth by 9%. Within the boundaries of an object, the error drops to 6%. Application of this method in real diagnosis data can be expected in future.
DOI：
10.1073/pnas.1321080111
发表时间：
2014-09-02
影响因子：
11.1
作者：
Bayer, Florian L.;Hu, Shiyang;Riess, Christian P.
通讯作者：
Riess, Christian P.