Open AccessAn attenuation-partition based iterative phase retrieval algorithm for in-line phase-contrast imaging
Author(s) -
Aimin Yan,
Xizeng Wu,
Hong Liu
Publication year - 2008
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.16.013330
Subject(s) - phase retrieval , attenuation , algorithm , computer science , iterative method , phase contrast imaging , optics , medical imaging , phase (matter) , noise (video) , iterative reconstruction , computer vision , artificial intelligence , physics , image (mathematics) , fourier transform , quantum mechanics , phase contrast microscopy
For medical applications of the in-line phase-contrast x-ray imaging, phase retrieval is a crucial step for quantitative imaging such as reconstructing the 3-D distribution of tissue linear attenuation coefficients and refraction indices. The conventional phase retrieval algorithms, such as the transport of intensity equation (TIE) based algorithms, are not robust against the quantum noise that appears in acquired images due to the radiation dose constraints in medical imaging. In this work a new attenuation-partition based iterative phase retrieval algorithm is proposed. This new algorithm takes advantage of the correlation between the attenuation and phase-shift, and is much robust against noise in acquired images. Phase retrieval results from experimental images show that this new iterative algorithm is fast and robust, and it has good potential for medical x-ray imaging applications.