Common characteristics shared by different differential phase contrast imaging methods

Abstract

There are many variations of differential phase contrast imaging methods. Although these imaging methods are different in configuration, they are alike in imaging by extracting differential phase information through the evaluation of the refraction angles. In this paper, we investigate common characteristics shared by various different differential phase contrast imaging methods.

Signal-to-noise ratio comparison of angular signal radiography and phase stepping method

“…[11,12] Though, their configurations are different but they share some common characteristics. [15] The performance of all differential phase-contrast imaging can be depicted by rocking curve in DEI, [16] phase-stepping curve or shifting curve (SC) in grating-based imaging [8,[17][18][19] and illumination curve in edge illumination [20] imaging. According to angular signal radiography (ASR) point of view rocking curve, phase stepping curve, and illumination curve are all angular signal response functions in the differential phasecontrast imaging.…”

A novel crystal-analyzer phase retrieval algorithm and its noise property

“…DEI not only introduced refraction and scattering information for radiography (Oltulu, 2003) but also triggered the development of other phase contrast imaging methods Munro & Olivo, 2013). In particular, as a reference model, its conclusion can be generalized to many collimatoranalyzer-based imaging methods (Zhu et al, 2014). Although DEI has been developed for more than a decade, many research issues still need to be clarified and improved.…”

Investigation of noise properties in grating-based x-ray phase tomography with reverse projection method

“…The advantage of using x-ray phase contrast in x-ray imaging has been attracting attention, especially since the 1990s, [1] owing to the development of digital x-ray imaging technologies, including x-ray signal detection schemes [2][3][4][5][6][7][8][9][10] and information extraction algorithms. [11][12][13][14][15][16][17][18][19][20] Among the x-ray signal detection schemes, grating-based x-ray phase imaging is considered to be the most promising approach for future clinical medical imaging [1] because of its large field of view and good compatibility with conventional x-ray sources, [5,21] and the extension to computed tomography [22] is capable of assessing quantitative information about the three-dimensional (3D) geometry and properties [23][24][25][26] of a sample. Meanwhile, several information extraction algorithms [2,3,6,15] have been developed.…”