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Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating

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Improved algorithm for processing grating-based phase contrast interferometry image sets.

Shashidhara Marathe¹, Lahsen Assoufid¹, Xianghui Xiao¹

¹Advanced Photon Source, Argonne National Laboratory, 9700 S. Cass Ave., Argonne, Illinois 60439, USA.

The Review of Scientific Instruments

|February 13, 2014

Summary

This summary is machine-generated.

An improved algorithm efficiently processes large grating-based X-ray and neutron interferometry tomography data. This method rapidly calculates key imaging parameters and handles incomplete datasets, enhancing image analysis.

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Area of Science:

Physics
Materials Science
Imaging Science

Background:

Grating-based interferometry tomography generates large datasets.
Phase-stepping methods are computationally intensive.
Accurate reconstruction of transmission, differential phase contrast (DPC), and dark-field images is crucial.

Purpose of the Study:

To present an improved algorithm for processing large grating-based interferometry tomography data.
To enhance the speed and efficiency of parameter calculation.
To demonstrate the algorithm's capability with partial datasets and investigate image artifacts.

Main Methods:

Developed an algorithm leveraging vectorization in high-level languages (Mathematica, MATLAB).
Applied the algorithm to solve for parameters in large datasets (e.g., 16 × 1k × 1k).
Tested processing with partial datasets and analyzed reduced chi-square values.

Main Results:

The algorithm solves large datasets in under a second.
It successfully processes partial datasets without prior restrictions.
Identified the impact of grating support structures on DPC images.

Conclusions:

The improved algorithm significantly accelerates grating-based interferometry tomography data processing.
The method is robust and adaptable to incomplete data.
Further analysis using expanded basis sets can mitigate structural artifacts in DPC imaging.