Abstract
A tomographic reconstruction method based on Monte Carlo random searching guided by the information contained in the projections of radiographed objects is presented. In order to solve the optimization problem, a multiscale algorithm is proposed to reduce computation. The reconstruction is performed in a coarse-to-fine multigrid scale that initializes each resolution level with the reconstruction of the previous coarser level, which substantially improves the performance. The method was applied to a real case reconstructing the internal structure of a small metallic object with internal components, showing excellent results.
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Barbuzza, R., Vénere, M. & Clausse, A. Tomographic reconstruction using heuristic Monte Carlo methods. J Heuristics 13, 227–242 (2007). https://doi.org/10.1007/s10732-007-9017-3
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DOI: https://doi.org/10.1007/s10732-007-9017-3