Abstract

A new tomographic image reconstruction method is proposed that uses a genetic algorithm (GA), a robust optimization algorithm based on the genetic principle of natural selection. For the purpose of description, a simple axisymmetric reference density field is reconstructed from its interferometric projection by the developed GA-based tomography. This preliminary investigation shows a promising potential of the GA-based tomography to overcome the problems associated with other existing tomographic methods, particularly for limited projections.

© 1996 Optical Society of America

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