Optimization of the in-line X-ray phase-contrast imaging setup considering edge-contrast enhancement and spatial resolution

Employing the approximation theory based on refraction and the definition of the total pointspread-function of the imaging system, the variation in the edge contrast of simple model samples is discussed with different source-to-sample and sample-to-detector distances, which actually means different...

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Bibliographic Details
Published inChinese physics C Vol. 36; no. 3; pp. 267 - 274
Main Author 贾全杰 陈雨 黎刚 姜晓明
Format Journal Article
LanguageEnglish
Published 01.03.2012
Subjects
Approximation
Biological effects
Image detection
Imaging
Insects
Optimization
Spatial resolution
X-rays
X射线源
优化设置
北京同步辐射装置
对比度
成像系统
探测器
相衬成像
空间分辨率
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Summary:Employing the approximation theory based on refraction and the definition of the total pointspread-function of the imaging system, the variation in the edge contrast of simple model samples is discussed with different source-to-sample and sample-to-detector distances, which actually means different spatial resolutions of the imaging system. The experiments were carried out with the Beamline 4W1A imaging setup at the Beijing Synchrotron Radiation Facility for simple model and insect samples. The results show that to obtain clear phase-contrast images of biologic tissues for the X-ray in-line imaging setup, with determined parameters such as the size of the X-ray source, the pixel size of the detector and the fixed source-to-sample distance, there is a range of optimized sample-to-detector distances. The analysis method discussed in this article can be helpful in optimizing the setup of X-ray in-line phase-contrast imaging.
Bibliography:JIA Quan-Jie CHEN YuLI Gang JIANG Xiao-Ming（ Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China）
11-5641/O4
Employing the approximation theory based on refraction and the definition of the total pointspread-function of the imaging system, the variation in the edge contrast of simple model samples is discussed with different source-to-sample and sample-to-detector distances, which actually means different spatial resolutions of the imaging system. The experiments were carried out with the Beamline 4W1A imaging setup at the Beijing Synchrotron Radiation Facility for simple model and insect samples. The results show that to obtain clear phase-contrast images of biologic tissues for the X-ray in-line imaging setup, with determined parameters such as the size of the X-ray source, the pixel size of the detector and the fixed source-to-sample distance, there is a range of optimized sample-to-detector distances. The analysis method discussed in this article can be helpful in optimizing the setup of X-ray in-line phase-contrast imaging.
X-ray phase contrast imaging, edge-contrast enhancement, spatial resolution
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1674-1137
0254-3052
DOI:10.1088/1674-1137/36/3/014