Ando Masami, Sunaguchi Naoki, Shimao Daisuke, Pan Adam, Yuasa Tetsuya, Mori Kensaku, Suzuki Yoshifumi, Jin Ge, Kim Jong-Ki, Lim Jae-Hong, Seo Seung-Jun, Ichihara Shu, Ohura Norihiko, Gupta Rajiv
Research Institute of Science and Engineering, Tokyo University of Science, Noda, Chiba 278-8510, Japan.
Graduate School of Engineering, Gunma University, Kiryu, Gunma 376-8515, Japan.
Phys Med. 2016 Dec;32(12):1801-1812. doi: 10.1016/j.ejmp.2016.11.103.
This paper describes an X-ray phase contrast imaging technique using analyzer-based optics called X-ray Dark-Field Imaging that has been under development for the past 10years. We describe the theory behind XDFI, the X-ray optics required for implementing it in practice, and algorithms used for 2D, 2.5D, and 3D image reconstruction. The XDFI optical chain consists of an asymmetrically cut, Bragg-type monochromator-collimator that provides a planar monochromatic X-ray beam, a positioning stage for the specimens, a Laue-case angle analyzer, and one or two cameras to capture the dark and bright field images. We demonstrate the soft-tissue discrimination capabilities of XDFI by reconstructing images with absorption and phase contrast. By using a variety of specimens such as breast tissue with cancer, joints with articular cartilage, ex-vivo human eye specimen, and others, we show that refraction-based contrast derived from XDFI is more effective in characterizing anatomical features, articular pathology, and neoplastic disease than conventional absorption-based images. For example, XDFI of breast tissue can discriminate between the normal and diseased terminal duct lobular unit, and between invasive and in-situ cancer. The final section of this paper is devoted to potential future developments to enable clinical and histo-pathological applications of this technique.
本文介绍了一种基于分析器光学的X射线相衬成像技术,称为X射线暗场成像,该技术在过去十年中一直在开发。我们描述了XDFI背后的理论、实际应用中所需的X射线光学元件以及用于二维、2.5维和三维图像重建的算法。XDFI光学链由一个不对称切割的布拉格型单色仪准直器组成,它提供一个平面单色X射线束、一个用于放置标本的定位台、一个劳厄盒角度分析仪以及一个或两个用于捕获暗场和亮场图像的相机。我们通过吸收和相衬重建图像来展示XDFI对软组织的辨别能力。通过使用各种标本,如患有癌症的乳腺组织、带有关节软骨的关节、离体人眼标本等,我们表明,与传统的基于吸收的图像相比,XDFI产生的基于折射的对比度在表征解剖特征、关节病理学和肿瘤疾病方面更有效。例如,乳腺组织的XDFI可以区分正常和患病的终末导管小叶单位,以及浸润性癌和原位癌。本文的最后一部分致力于该技术未来可能的发展,以实现其临床和组织病理学应用。