Skip to Main content Skip to Navigation
Journal articles

Strategy of computed tomography sinogram inpainting based on sinusoid-like curve decomposition and eigenvector-guided interpolation.

Abstract : Projection incompleteness in x-ray computed tomography (CT) often relates to sparse sampling or detector gaps and leads to degraded reconstructions with severe streak and ring artifacts. To suppress these artifacts, this study develops a new sinogram inpainting strategy based on sinusoid-like curve decomposition and eigenvector-guided interpolation, where each missing sinogram point is considered located within a group of sinusoid-like curves and estimated from eigenvector-guided interpolation to preserve the sinogram texture continuity. The proposed approach is evaluated on real two-dimensional fan-beam CT data, for which the projection incompleteness, due to sparse sampling and symmetric detector gaps, is simulated. A Compute Unified Device Architecture (CUDA)-based parallelization is applied on the operations of sinusoid fittings and interpolations to accelerate the algorithm. A comparative study is then conducted to evaluate the proposed approach with two other inpainting methods and with a compressed sensing iterative reconstruction. Qualitative and quantitative performances demonstrate that the proposed approach can lead to efficient artifact suppression and less structure blurring.
Document type :
Journal articles
Complete list of metadatas

Cited literature [22 references]  Display  Hide  Download

https://www.hal.inserm.fr/inserm-00677987
Contributor : Christine Toumoulin <>
Submitted on : Sunday, March 11, 2012 - 4:34:39 PM
Last modification on : Friday, July 5, 2019 - 10:16:02 AM
Long-term archiving on: : Thursday, June 14, 2012 - 2:55:47 PM

Files

joas_2012.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Yinsheng Li, Yang Chen, Yining Hu, Ahmed Oukili, Limin Luo, et al.. Strategy of computed tomography sinogram inpainting based on sinusoid-like curve decomposition and eigenvector-guided interpolation.. Journal of the Optical Society of America. A Optics, Image Science, and Vision, Optical Society of America, 2012, 29 (1), pp.153-63. ⟨10.1364/JOSAA.29.000153⟩. ⟨inserm-00677987⟩

Share

Metrics

Record views

1385

Files downloads

3216