Tomographic reconstruction using heuristic Monte Carlo methods

  • Authors:
  • R. Barbuzza;M. Vénere;A. Clausse

  • Affiliations:
  • PLADEMA-ISISTAN, Universidad Nacional del Centro, Tandil, Argentina 7000;PLADEMA-ISISTAN, Universidad Nacional del Centro, Tandil, Argentina 7000 and CNEA-CONICET, Tandil, Argentina 7000;PLADEMA-ISISTAN, Universidad Nacional del Centro, Tandil, Argentina 7000 and CNEA-CONICET, Tandil, Argentina 7000

  • Venue:
  • Journal of Heuristics
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

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.