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A reconstruction method for equidistant fan beam differential phase contrast computed tomography.

J Fu¹, P Li, Q L Wang

¹Research Center of Digital Radiation Imaging and Biomedical Imaging, Beijing University of Aeronautics and Astronautics, Beiijng, People's Republic of China. fujian706@buaa.edu.cn

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Summary

A new back-projection filtered (BPF) algorithm reconstructs images for fan beam differential phase contrast computed tomography (DPC-CT). This method effectively handles incomplete data, showing promise for medical imaging.

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Area of Science:

Medical Imaging
Computed Tomography
Phase Contrast Imaging

Background:

Differential Phase Contrast Computed Tomography (DPC-CT) offers enhanced soft-tissue contrast.
Existing reconstruction algorithms face challenges with truncated data in DPC-CT.

Purpose of the Study:

To introduce and validate a novel back-projection filtered (BPF) algorithm for fan beam DPC-CT.
To assess the algorithm's performance with truncated datasets in numerical and experimental settings.

Main Methods:

Development of a back-projection filtered (BPF) algorithm for fan beam DPC-CT.
Numerical simulations to evaluate the algorithm's accuracy and robustness.
Experimental verification using a three-grating interferometer and an X-ray source.

Main Results:

The BPF algorithm successfully reconstructed DPC-CT images from truncated datasets.
Both numerical simulations and experimental results confirmed the algorithm's efficacy.
The method demonstrated robustness across various truncated data scenarios.

Conclusions:

The proposed back-projection filtered (BPF) algorithm is a viable method for fan beam DPC-CT reconstruction.
This technique shows potential for improving medical phase contrast imaging applications, especially with limited data acquisition.
The algorithm's ability to handle truncated data is a significant advancement for practical DPC-CT implementation.