کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5498671 | 1399988 | 2016 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Dark-Field Imaging: Recent developments and potential clinical applications
ترجمه فارسی عنوان
تصویربرداری تاریک میدان: پیشرفت های اخیر و برنامه های بالینی بالقوه
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
تشعشع
چکیده انگلیسی
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 10Â years. 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica Medica - Volume 32, Issue 12, December 2016, Pages 1801-1812
Journal: Physica Medica - Volume 32, Issue 12, December 2016, Pages 1801-1812
نویسندگان
Masami Ando, Naoki Sunaguchi, Daisuke Shimao, Adam Pan, Tetsuya Yuasa, Kensaku Mori, Yoshifumi Suzuki, Ge Jin, Jong-Ki Kim, Jae-Hong Lim, Seung-Jun Seo, Shu Ichihara, Norihiko Ohura, Rajiv Gupta,