Genetic-algorithm-based reconstruction in diffusion tomography

Prashanth Kini, Charles Peck, Atam P. Dhawan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A genetic algorithm based approach is employed in the inverse problem of reconstructing the interior of a diffusing medium. Diffusion of optical energy in a scattering medium is simulated by a relaxation scheme. The genetic algorithm uses an error measure to successively modify an initial set of solutions yielding new generations of improved solutions. The error measure, which determines the relative merit of a particular solution, is determined by comparing the data obtained by simulating diffusion through the solution with those for the unknown medium. Unlike conventional iterative schemes, successive generations of solutions are generated through a directed parallel search in the solution space without any knowledge of the derivative of the error surface. The parallel search mechanism alleviates the problem of getting trapped in local minima. Results of experiments performed on two-dimensional planar media are presented along with suggestions for hybrid approaches that incorporate other reconstruction schemes.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsBritton Chance, Robert R. Alfano
PublisherPubl by Society of Photo-Optical Instrumentation Engineers
Pages407-418
Number of pages12
ISBN (Print)0819411159
StatePublished - Dec 1 1993
Externally publishedYes

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1888
ISSN (Print)0277-786X

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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