Book ChapterDOI
An improved phase retrieval algorithm for X-ray in-line phase-contrast imaging
Yunfeng Guo,Tiange Zhuang,Jianqi Sun +2 more
- pp 1034-1037
TLDR
In this paper, an improved algorithm based on BA is presented, which adds a Δϕ(x,y) to the phase map retrieved by BA to make the reconstructed phase map more precise.Abstract:
Phase contrast imaging technique has been improved promptly in recent years. Among these techniques in-line phase contrast imaging is widely used. Various algorithms for in-line phase retrieval have been proposed so far such as TIE (transport of intensity equation), CTF (contrast transfer function), first Born-approximations, GSF (Gerchberg-Saxton-Fienup) and etc. Bronnikov’s algorithm (BA) is a type of linear algorithm that is simple and efficient. But it can only be used for no absorption situations. In this paper an improved algorithm based on BA is presented. The approach adds a Δϕ(x,y) to the phase map ϕ b (x,y) retrieved by BA to make the reconstructed phase map more precise. Further, the approach is evaluated on simulated images and confirmed to be accurate at higher absorption rates.read more
Citations
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Patent
Coaxial phase-contrast imaging method and system as well as phase-contrast CT method and system
TL;DR: In this paper, a coaxial phase-contrast imaging method was proposed to obtain a double-energy-spectrum image from a micro-focal-spot X-ray source working under two voltages and formed by different rays penetrating through the imaging object.
Patent
Coaxial phase-contrast imaging method and system as well as phase-contrast CT method and system
TL;DR: In this article, a coaxial phase-contrast imaging method was proposed to obtain a double-energy-spectrum image from a micro-focal-spot X-ray source working under two voltages and formed by different rays penetrating through the imaging object.
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