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Chin. Phys. B, 2014, Vol. 23(4): 048701    DOI: 10.1088/1674-1056/23/4/048701
INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY Prev   Next  

Improvement and error analysis of quantitative information extraction in diffraction-enhanced imaging

Yang Hao, Xuan Rui-Jiao, Hu Chun-Hong, Duan Jing-Hao
College of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China
Abstract  Diffraction-enhanced imaging (DEI) is a powerful phase-sensitive technique that provides higher spatial resolution and supercontrast of weakly absorbing objects than conventional radiography. It derives contrast from the X-ray absorption, refraction, and ultra-small-angle X-ray scattering (USAXS) properties of an object. The separation of different-contrast contributions from images is an important issue for the potential application of DEI. In this paper, an improved DEI (IDEI) method is proposed based on the Gaussian curve fitting of the rocking curve (RC). Utilizing only three input images, the IDEI method can accurately separate the absorption, refraction, and USAXS contrasts produced by the object. The IDEI method can therefore be viewed as an improvement to the extended DEI (EDEI) method. In contrast, the IDEI method can circumvent the limitations of the EDEI method well since it does not impose a Taylor approximation on the RC. Additionally, analysis of the IDEI model errors is performed to further investigate the factors that lead to the image artifacts, and finally validation studies are conducted using computer simulation and synchrotron experimental data.
Keywords:  X-ray imaging      phase contrast      phase retrieval      synchrotron radiation  
Received:  21 May 2013      Revised:  24 August 2013      Published:  15 April 2014
PACS:  87.59.-e (X-ray imaging)  
  87.64.mh (Phase contrast and DIC)  
  42.30.Rx (Phase retrieval)  
  41.60.Ap (Synchrotron radiation)  
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 30900333 and 81371549) and the WBE Liver Fibrosis Foundation, China (Grant No. CFHPC20131033).
Corresponding Authors:  Hu Chun-Hong     E-mail:  chunhong_hu@hotmail.com
About author:  87.59.-e; 87.64.mh; 42.30.Rx; 41.60.Ap

Cite this article: 

Yang Hao, Xuan Rui-Jiao, Hu Chun-Hong, Duan Jing-Hao Improvement and error analysis of quantitative information extraction in diffraction-enhanced imaging 2014 Chin. Phys. B 23 048701

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