Tomographic reconstruction using heuristic Monte Carlo methods |
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Authors: | R Barbuzza M Vénere A Clausse |
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Institution: | (1) PLADEMA-ISISTAN, Universidad Nacional del Centro, 7000 Tandil, Argentina;(2) CNEA-CONICET, 7000 Tandil, Argentina |
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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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Keywords: | Tomography Image reconstruction Monte Carlo methods Stochastic heuristics Multigrid |
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