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An Iterative Image Reconstruction for Differential X-ray Phase-contrast Computed Tomography |
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Abstract The last decade saw the growth of the use of X-ray Phase-contrast
Computed Tomography (PCT) imaging. Differential X-ray Phase-contrast
CT (DPCT) has shown bright prospect for clinical use in recent
years, but how to best reconstruct the phase-contrast tomographic
image from incomplete or inconsistent projections remains
challenging. We designed an iterative image reconstruction method
for DPCT utilizing compressed sensing. This proposed method
reconstructs the phase-contrast tomographic image of the refractive
index decrement gradient with acceptable accuracy and image quality
even when the projection data is undersampled or noisy. Real data
experiments indicate this proposed method is accurate and practical
and outperforms the analytic filtered back-projection
reconstruction. This method shows potential for X-ray DPCT
facilities in low dose tomography and fast acquisition imaging.
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