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ISSN Online: 2377-424X

ISBN Print: 1-56032-797-9

International Heat Transfer Conference 11
August, 23-28, 1998, Kyongju, Korea

TOMOGRAPHIC RECONSTRUCTION OF INTERFEROMETRIC PROJECTIONS: ALGEBRAIC RECONSTRUCTION (ART) VERSUS GENETIC ALGORITHM (GA)

Get access (open in a dialog) DOI: 10.1615/IHTC11.2860
pages 21-26

Resumo

The quality of tomographically reconstructed images of interferometric projections is compared between the conventional algebraic reconstruction technique (ART), and the new genetic algorithm (GA). The examination uses two different computer synthesized phantom density fields. Each phantom is interferometrically projected at three or five equally angled directions. To simulate experimental uncertainties, random noise levels are imposed on the projected data before they are used for reconstruction. When no noise is imposed, the linear ART optimization provides faster and more accurate reconstruction than the nonlinear GA-based method. However, when the random noise is imposed on the projection data, the GA reconstruction accuracy gradually decreases while the ART reconstruction accuracy rapidly decreases with increasing noise levels. Within the model data and range of noise evaluated in our study, ART accuracy generally exceeded that for GA. However, the GA method also provided robust reconstructions and may offer advantages at higher noise levels or for applications unsuited to ART, such as non-linear and nonalgebraic projections.