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Research on Mechanical Deviation Correction Method for Industrial CT
Author(s) -
Jiayin Liu,
Lihong Yang,
Yuan Wu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1621/1/012060
Subject(s) - industrial computed tomography , standard deviation , computer science , computed tomography , tomography , volume (thermodynamics) , tomographic reconstruction , artificial intelligence , mathematics , iterative reconstruction , radiology , physics , medicine , statistics , quantum mechanics
Industrial CT is the abbreviation of industrial computed tomography (CT) technology, which adopts X-ray imaging principle to realize the non-destructive three-dimensional imaging to obtain high-precision three-dimensional tomographic data and volume data inside the product, clear, accurate and intuitive. In addition, it can show the internal structure, composition, material and defective condition of the inspected object. Factors such as mechanical accuracy and mounting deviations can adversely affect CT imaging and, in severe cases, lead to CT imaging failure. It is important to achieve effective correction based on the existing CT mechanical accuracy and mounting deviations. In this paper the authors collect data and performed experiments in a real CT system, they use standard test blocks to correct the deviations while keeping the existing CT system unchanged, the effectiveness can be validated by the experimental data.

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