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摘要翻译：
X射线的穿透能力使人能够对大物体成像。例如，厘米大小的标本可以用同步辐射源以微米级分辨率成像。然而，在这种情况下，有限的光束直径和探测器尺寸阻止了在一次拍摄中获得完整的样本，这就需要将来自多个区域的数据组合起来。目标拼接包括来自重叠区域的局部层析数据的组合，而投影拼接包括收集来自旋转轴的多个偏移位置的投影，然后进行数据合并和重建。我们比较了这两种方法在辐射剂量和重建图像质量方面的差异。对象拼接涉及一个更容易的数据对齐问题，以及在获取整个数据集之前立即查看子区域。投影拼接的剂量效率更高，避免了局部层析成像的某些伪影；然而，它也涉及到一个更困难的数据组装和对齐过程，因为它对累积注册错误更敏感。
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英文标题：
《X-ray tomography of extended objects: a comparison of data acquisition
approaches》
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作者：
Ming Du, Rafael Vescovi, Kamel Fezzaa, Chris Jacobsen, Doga Gursoy
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最新提交年份：
2018
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分类信息：
一级分类：Electrical Engineering and Systems Science 电气工程与系统科学
二级分类：Image and Video Processing 图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
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英文摘要：
The penetration power of x-rays allows one to image large objects. For example, centimeter-sized specimens can be imaged with micron-level resolution using synchrotron sources. In this case, however, the limited beam diameter and detector size preclude the acquisition of the full sample in a single take, necessitating strategies for combining data from multiple regions. Object stitching involves the combination of local tomography data from overlapping regions, while projection stitching involves the collection of projections at multiple offset positions from the rotation axis followed by data merging and reconstruction. We compare these two approaches in terms of radiation dose applied to the specimen, and reconstructed image quality. Object stitching involves an easier data alignment problem, and immediate viewing of subregions before the entire dataset has been acquired. Projection stitching is more dose-efficient, and avoids certain artifacts of local tomography; however, it also involves a more difficult data assembly and alignment procedure, in that it is more sensitive to accumulative registration error.
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PDF链接：
https://arxiv.org/pdf/1805.09846
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