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High-quality image reconstruction from exterior helical cone-beam CT data for NDE of industrial pipelines

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In many computed tomography (CT) applications such as industrial non-destructive evaluation, obtaining high-quality CT image reconstruction is always a necessary requirement. In recent years, helical cone-beam CT is widely used because of its faster scanning speed, efficient utilisation of X-ray dose and a favourable manner to scan objects such as humans and pipelines. Exterior CT is prevalent in industrial non-destructive testing of objects such as pipelines because the object is so large that X-rays cannot cover even half of the whole cross-section, and it is of special interest to detect cracks, defects or corrosion in the outer shells of the pipes. The problem is highly ill-posed in that it is barely possible to obtain high-quality image reconstruction from real (noisy) projection data by traditional algorithms. However, over the years, the industrial, medical and some other areas have made high demands on 3D CT technology and the subsequent data evaluation software. So, in this paper, based on 3D total variation minimisation (TVM), projection onto convex sets (POCS) and the 3D Chan-Vese (C-V) active contour model, an iterative reconstruction algorithm for high-quality volume image reconstruction from exterior helical cone-beam scan data is presented. The results of numerical simulation demonstrate that the presented algorithm can obtain high-quality image reconstruction and is robust to noise, which is useful for industrial applications such as NDE of pipelines.
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Document Type: Research Article

Publication date: October 1, 2011

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