High quality x-ray imaging based on cumulation of forward projection of computed tomography

Fuqiang Yang; Dinghua Zhang; Hua Zhang; Kuidong Huang; Mingxuan Teng; You Du

doi:10.1117/12.2548572

20 December 2019 High quality x-ray imaging based on cumulation of forward projection of computed tomography

Fuqiang Yang, Dinghua Zhang, Hua Zhang, Kuidong Huang, Mingxuan Teng, You Du

Proceedings Volume 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019); 112092R (2019) https://doi.org/10.1117/12.2548572
Event: Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 2019, Xi'an, China

Abstract

Since the ideal image is difficult to be stripped from the actual sampling, this study aims to address and test a shared noise which as the knowledge and is included in the signal applying to the sampled projection to generate high qualified X-ray imaging by reducing the artifacts in computed tomography (CT). Combined with the randomness of the noise, the prereconstruction of the original projection is performed first, and then the forward projection which contains the equivalent noise in the image is obtained. Based on the slice updating, the forward and reconstruction processing is employed again. By means of threshold setting, multiple forward projections are accumulated, whereas the noise upon them will be reduced by averaging process. The noise is suppressed, and the expected information emerges, simultaneously. Study results show effective results, and the proposed method is practical and attractive as a preferred solution to CT artifacts suppression. It provides reliable guarantee for the CT inspection of internal and external dimensions.

Citation Download Citation

Fuqiang Yang, Dinghua Zhang, Hua Zhang, Kuidong Huang, Mingxuan Teng, and You Du "High quality x-ray imaging based on cumulation of forward projection of computed tomography", Proc. SPIE 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 112092R (20 December 2019); https://doi.org/10.1117/12.2548572

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KEYWORDS

X-ray imaging

X-ray computed tomography

Image quality

Image processing

Reconstruction algorithms

Computed tomography

Signal to noise ratio

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