Open AccessOptimization of image recording distances for quantitative X-ray in-line phase contrast imaging
Author(s) -
Yifei Ren,
Can Chen,
Rongchang Chen,
Gongfu Zhou,
Yudan Wang,
Tiqiao Xiao
Publication year - 2011
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.19.004170
Subject(s) - phase retrieval , optics , phase contrast imaging , detector , phase (matter) , line (geometry) , computer science , contrast (vision) , image processing , image quality , spectral imaging , sample (material) , physics , artificial intelligence , image (mathematics) , phase contrast microscopy , fourier transform , mathematics , geometry , quantum mechanics , thermodynamics
Compared to phase retrieval from single sample-to-detector distance (SDD) image, phase retrieval with multiple SDD images could improve the precision in quantitative X-ray in-line phase contrast imaging (QXIPCI). Among all the related phase retrieval approaches, the two-SDD-image-based one is the simplest and well compromises between precision and dose. However, how to optimize the recording distances for the two images to achieve highest precision, remains unsolved. In this paper, the problem was investigated systematically based on digital simulation and related experiments. Spectral correlation degree (SCD) is introduced to evaluate the pertinence between the two SDD images. The simulation results show that the highest retrieving precision could be obtained while the SDD of the second image is three times that of the first image. The best retrieval could be achieved when SDD of the first image is selected properly, meanwhile the SCD occurs with a typical damping oscillation. Experiments, carried out at the X-ray imaging beamline of SSRF, demonstrated the simulation results.