Tomographic Image Reconstruction in the Case of Limited Number of X-Ray Projections Using Sinogram Inpainting
- Authors: Allag A.1,2, Benammar A.1, Drai R.1, Boutkedjirt T.2
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Affiliations:
- Research Center in Industrial Technologies (CRTI)
- University of Sciences and Technology Houari Boumédiène
- Issue: Vol 55, No 7 (2019)
- Pages: 542-548
- Section: Radiation Methods
- URL: https://journals.rcsi.science/1061-8309/article/view/181926
- DOI: https://doi.org/10.1134/S1061830919070027
- ID: 181926
Cite item
Abstract
In many medicine and industry applications, a precise X-ray tomography reconstruction of the internal objects structure is of great importance for reliable interpretation data. The tomography allows obtaining a spatial distribution of the internal materials structure. In certain experiments conditions, the projection data acquisition is guided by angle limitations or a restricted angle, this requires a subsampling of the projections number or a partial data absence. Accordingly, the reconstructed images may suffer from severe artefacts especially with the presence of noise. In this context, the purpose of this paper is to propose a tomographic image reconstruction method based on FBP associated to sinogram inpainting. The studied inpainting technique is based on first order variational methods such as the Chambolle-Pock algorithm. This method allows the quality improvement of the reconstruction images tomographic with reduced number of projection. The PSNR is improved by 7 to 10 dB in the reconstructed image compared to the classical FBP reconstruction.
About the authors
A. Allag
Research Center in Industrial Technologies (CRTI); University of Sciences and Technology Houari Boumédiène
Email: Abs_benammar@yahoo.fr
Algeria, Cheraga, Algiers; USTHB, BP 32, El-Alia, DZ-16111
A. Benammar
Research Center in Industrial Technologies (CRTI)
Author for correspondence.
Email: Abs_benammar@yahoo.fr
Algeria, Cheraga, Algiers
R. Drai
Research Center in Industrial Technologies (CRTI)
Email: Abs_benammar@yahoo.fr
Algeria, Cheraga, Algiers
T. Boutkedjirt
University of Sciences and Technology Houari Boumédiène
Email: Abs_benammar@yahoo.fr
Algeria, USTHB, BP 32, El-Alia, DZ-16111