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Validation of a parallel genetic algorithm for image reconstruction from projections

✍ Scribed by Peter Knoll; S. Mirzaei

Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
168 KB
Volume
63
Category
Article
ISSN
0743-7315

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✦ Synopsis

The problem of accurate image reconstruction from projections has repeatedly arisen over the last decades in a large number of scientific, medical and technical fields. Reconstruction algorithms use data from electron microscopes to reconstruct molecular structures or X-ray projection data to compute medical images. Usually, the applied projection data are noisy and therefore iterative algorithms are used to solve numerically a number of equations. Theory and empirical results demonstrate that genetic algorithms (GA) can accurately solve a broad class of problems, especially if noisy input data are used. GA are based on the evolution of random tries by individuals, and therefore the time to find an appropriate solution is rather long. In this work, we use a parallel approach using JavaSpaces to speed up a genetic reconstruction algorithm.

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