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A study of metal artefact reduction for industrial X-ray CT system with limited radiation energy

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Metal artefacts arising from high-density objects, which appear typically in industrial X-ray computed tomography (CT), significantly influence the quality of the reconstructed image. The detection of defects and the measurement of the internal structures of the tested object, which are important for non-destructive testing (NDT) and non-destructive evaluation (NDE) applications, can be heavily affected by metal artefacts. In practical X-ray systems, limited by the energy of the radiation, the maximum possible penetration for the given radiation source may be smaller than the size of the object. In these cases, the images reconstructed by the filtered back-projection algorithm (FBP) suffer severe metal artefacts. To reduce this kind of metal artefact, we introduce an iterative algorithm based on total variation minimisation (TVM) and an improved analytical algorithm based on FBP for image reconstruction. In our work, a long object, whose size is larger than the maximum possible penetration for the given radiation source, is tested. Then, the validity of the algorithm presented for metal artefact reduction is verified. Firstly, to evaluate the effectiveness of the iterative algorithm based on TVM, several iterative reconstruction strategies are investigated and compared. Secondly, we present an improved FBP algorithm by correcting the filtered projection data, but not traditionally correcting the raw projection data. According to the experimental results for metal artefact reduction, the algorithm based on TVM and the improved FBP algorithm are both considered to have better performance than the original FBP algorithm and the simultaneous algebraic reconstruction technique (SART) algorithm.
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Document Type: Research Article

Publication date: February 1, 2014

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