Highlights
- •Differential X-ray phase contrast images are affected by stripes when integrated.
- •Iterative integration prevents stripes but is too slow for large CT datasets.
- •Wiener-based integration is fast and can integrate X-ray phase contrast CT datasets
Abstract
Artifacts arising when differential phase images are integrated is a common problem
to several X-ray phase-based experimental techniques. The combination of noise and
insufficient sampling of the high-frequency differential phase signal leads to the
formation of streak artifacts in the projections, translating into poor image quality
in the tomography slices. In this work, we apply a non-iterative integration algorithm
proven to reduce streak artifacts in planar (2D) images to a differential phase tomography
scan. We report on how the reduction of streak artifacts in the projections improves
the quality of the tomography slices, especially in the directions different from
the reconstruction plane. Importantly, the method is compatible with large tomography
datasets in terms of computation time.
Keywords
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Article info
Publication history
Published online: April 17, 2021
Accepted:
March 20,
2021
Received in revised form:
March 12,
2021
Received:
December 27,
2020
Identification
Copyright
© 2021 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.
