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Feasibility Study for Application of Total-Variation-Based Noise-Removal Algorithm with 450-kVp High-Energy Industrial Computed-Tomography Imaging System for Non-destructive Testing

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Abstract

Several important technological trends for the detection of faults in the internal structure of a material utilize industrial computed-tomography (CT) X-ray imaging systems in non-destructive testing (NDT). In this system, the total-variation-(TV)-based noise-removal algorithm is a powerful method for denoising with a high edge-information preservation. In this study, we confirm the application feasibility of the TV-based noise-removal algorithm with an established 450-kVp high-energy industrial CT imaging system for NDT. The results obtained using two phantoms (SEDENTEX cone-beam CT image-quality phantom and pressure-head phantom) with our established imaging system reveal excellent normalized noise power spectrum, contrast–to–noise ratio, and coefficient of variation of the images obtained using the TV-based noise-removal algorithm. Therefore, this study reveals that the TV-based noise-removal algorithm can improve the noise characteristics in an industrial CT imaging system for NDT.

Keywords

High-energy industrial computed-tomography imaging system Non-destructive testing Total-variation-based noise-removal algorithm Image-quality evaluation 

Notes

Acknowledgments

This research was supported by the National Research Foundation of Korea (NRF-2016R1D1A1B03930357).

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Copyright information

© The Society for Experimental Mechanics, Inc 2018

Authors and Affiliations

  1. 1.Department of Radiological Science, College of Health ScienceGachon UniversityIncheonRepublic of Korea

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