Projection Data Acquisition in Industrial Fan-Beam Computed Tomography Using Monte Carlo Modeling in Gas and Oil Pipelines Non-destructive Testing

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Kabir Mostafa; MOVAFEGHI AMIR; AFARIDEH HOSSEIN

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Journal Paper

Paper Information

Journal: Non-Destructive Testing Technology Year:2021 | Volume:2 | Issue:7 Page(s): 88-95

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Information Journal Paper

Title

Projection Data Acquisition in Industrial Fan-Beam Computed Tomography Using Monte Carlo Modeling in Gas and Oil Pipelines Non-destructive Testing

Author(s)

Kabir Mostafa | MOVAFEGHI AMIR | AFARIDEH HOSSEIN | Issue Writer Certificate

Keywords

Non-destructive testing

Computed tomography

Fan-beam industrial CT

Monte Carlo method

Projection function

Abstract

Computed tomography using gamma-and X-rays has been using as one of the most reliable imaging modalities for Non-destructive testing purposes in different fields of industry. These devices can provide a three-dimensional image of the sections inside the object under inspection. Based on the shape of the beam, the output beams from the beam source are placed in front of the source in the tomographic devices, detectors are placed in front of the source and rotated 360 degrees around the object to obtain projections and finally, the image is reconstructed. In this paper, a portable industrial CT system with the shape of a fan beam is simulated using the MCNPX2. 7e Monte Carlo code. The number of detectors was selected as 19 due to its portability, and an industrial standard phantoms and an innovative phantom were used to acquire projections for verification of simulation operation. Cobalt-60 gamma rays are recorded on the detectors after being transported from the object under study and generate important projection data for various angles. The results include a large number of Projection functions that can then be used to create a sinogram matrix.

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APA: Copy

Kabir, Mostafa, MOVAFEGHI, AMIR, & AFARIDEH, HOSSEIN. (2021). Projection Data Acquisition in Industrial Fan-Beam Computed Tomography Using Monte Carlo Modeling in Gas and Oil Pipelines Non-destructive Testing. NONDESTRUCTIVE TESTING TECHNOLOGY, 2(7 ), 88-95. SID. https://sid.ir/paper/373883/en

Vancouver: Copy

Kabir Mostafa, MOVAFEGHI AMIR, AFARIDEH HOSSEIN. Projection Data Acquisition in Industrial Fan-Beam Computed Tomography Using Monte Carlo Modeling in Gas and Oil Pipelines Non-destructive Testing. NONDESTRUCTIVE TESTING TECHNOLOGY[Internet]. 2021;2(7 ):88-95. Available from: https://sid.ir/paper/373883/en

IEEE: Copy

Mostafa Kabir, AMIR MOVAFEGHI, and HOSSEIN AFARIDEH, “Projection Data Acquisition in Industrial Fan-Beam Computed Tomography Using Monte Carlo Modeling in Gas and Oil Pipelines Non-destructive Testing,” NONDESTRUCTIVE TESTING TECHNOLOGY, vol. 2, no. 7 , pp. 88–95, 2021, [Online]. Available: https://sid.ir/paper/373883/en

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