A new image reconstruction method for inner corrosion detection based on Compton scattering and gray wolf optimizer (GWO)

In many industrial processes, detection and evaluation of hidden corrosion, especially internal erosion, are still challenging task. This study introduces and evaluates the use of gray wolf optimizer (GWO), as a meta-heuristic optimization algorithm, for reconstructing the tomographic image of the inside of an object. For this purpose, a test object was located in front of a collimated 662 keV gamma ray beam (from Cs-137 isotope), and the scattered photons from the object were recorded by a NaI(Tl) detector. Then, the GWO algorithm was used to solve a set of nonlinear equations related to the Compton scatter imaging. Finally, to evaluate the performance of the proposed method, its results were compared to the results of the various meta-heuristic and mathematical algorithms. The obtained results indicate that this new method can be efficiently used to obtain tomographic images of objects inside and detect the inner corrosion with high speed and good precision.