An improved phase shift reconstruction algorithm of fringe scanning technique for X-ray microscopy.

Rev Sci Instrum

Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai, Miyagi 980-8577, Japan.

Published: February 2015

AI Article Synopsis

  • The X-ray phase imaging method effectively visualizes soft biological tissues using the "Talbot effect" with an X-ray grating, allowing for detailed imaging.
  • A specific approach involves using an X-ray imaging microscope with a phase grating and a fringe scanning technique, which enhances the precision of phase shift imaging through systematic displacement of the grating.
  • The authors propose an improved algorithm to reduce approximation errors in the imaging process, demonstrating that high-quality results can be achieved with significantly fewer sample images compared to traditional methods.

Article Abstract

The X-ray phase imaging method has been applied to observe soft biological tissues, and it is possible to image the soft tissues by using the benefit of the so-called "Talbot effect" by an X-ray grating. One type of the X-ray phase imaging method was reported by combining an X-ray imaging microscope equipped by a Fresnel zone plate with a phase grating. Using the fringe scanning technique, a high-precision phase shift image could be obtained by displacing the grating step by step and measuring dozens of sample images. The number of the images was selected to reduce the error caused by the non-sinusoidal component of the Talbot self-image at the imaging plane. A larger number suppressed the error more but increased radiation exposure and required higher mechanical stability of equipment. In this paper, we analyze the approximation error of fringe scanning technique for the X-ray microscopy which uses just one grating and proposes an improved algorithm. We compute the approximation error by iteration and substitute that into the process of reconstruction of phase shift. This procedure will suppress the error even with few sample images. The results of simulation experiments show that the precision of phase shift image reconstructed by the proposed algorithm with 4 sample images is almost the same as that reconstructed by the conventional algorithm with 40 sample images. We also have succeeded in the experiment with real data.

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Source
http://dx.doi.org/10.1063/1.4908139DOI Listing

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