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Global imaging with high resolution region of interest using fusion data based on dual-field of view detection system
Optics Express ( IF 3.8 ) Pub Date : 2021-05-07 , DOI: 10.1364/oe.425214
Xia Xiaoqin , Zou Jing , Zhang Qi , Hu Xiaodong

X-ray micro-computed tomography (CT) is an important tool for high-resolution three-dimensional imaging. But one limitation of micro-CT is the compromise between resolution and fields of view (FOV). In this paper, we develop an x-rays dual-FOV optical coupling detection (DFOCD) system for global imaging with high-resolution region of interest (ROI). In DFOCD system, the beam splitter separates lights to form two sub-optical paths, two objectives with different FOV and magnification are used in the two sub-optical paths for dual-FOV imaging. Then a data fusion method is proposed to register and fuse dual-FOV data. Reconstructed images are obtained based on back projection filtering algorithm using fusion data. Dual-FOV data are collected simultaneously in DFOCD system, which precludes artifacts in fusion images from phantom movement or changes in two acquisitions on common micro-CT, and also saves scanning time. Simulation and experimental results show that details in ROI and global morphology of phantoms are correctly reconstructed. Bright ring artifacts of ROI caused by truncated data are corrected in reconstruction images. Therefore, global imaging with high-resolution ROI of samples can be obtained by single scan experiment using DFOCD system and data fusion method, which is expected to expand the application of micro-CT.

中文翻译:

使用基于双视场检测系统的融合数据对高分辨率感兴趣区域进行全局成像

X射线计算机断层扫描(CT)是高分辨率三维成像的重要工具。但是,微型CT的局限性在于分辨率和视场(FOV)之间的折衷。在本文中,我们开发了X射线双FOV光学耦合检测(DFOCD)系统,用于具有高分辨率关注区域(ROI)的全球成像。在DFOCD系统中,分束器将光分开以形成两个子光学路径,在两个子光学路径中使用具有不同FOV和放大倍率的两个物镜进行双FOV成像。然后提出了一种数据融合方法来注册和融合双FOV数据。使用融合数据基于反投影滤波算法获得重建的图像。在DFOCD系统中同时收集双FOV数据,这样就可以避免融合图像中的伪影因幻影运动或普通micro-CT上两次采集的变化而发生变化,并且还节省了扫描时间。仿真和实验结果表明,正确重建了ROI的细节和体模的整体形态。在重建图像中校正由截断的数据导致的ROI的亮环伪影。因此,使用DFOCD系统和数据融合方法通过单次扫描实验可以获得具有高分辨率ROI的整体成像,有望扩大micro-CT的应用范围。
更新日期:2021-05-10
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