Simulated annealing image reconstruction for an x-ray coded source tomograph

Mohsine El Alaoui; Isabelle E. Magnin; Michel Amiel

doi:10.1117/12.48368

1 October 1991 Simulated annealing image reconstruction for an x-ray coded source tomograph

Mohsine El Alaoui, Isabelle E. Magnin, Michel Amiel

Proceedings Volume 1569, Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision; (1991) https://doi.org/10.1117/12.48368
Event: San Diego, '91, 1991, San Diego, CA, United States

Abstract

The reconstruction of a 3-D object from its 2-D coded radiograph is considered. The set up is a restricted view angle tomographic system. The physical acquisition conditions are simulated. A 3-D phantom is reconstructed using the simulated annealing (SA) algorithm. Three initial solutions are envisaged: zero volume; a solution obtained by SA with T equals 0; and an algebraic reconstruction provided by a specific tomosynthesis algorithm. The quality of the reconstructions provided by the initial solutions is enhanced by using the algorithm. The root mean square distance between the coded projection of the actual object and the coded projection of the reconstructed object is minimized. The advantage of starting from a given initial solution is to increase the convergence speed and thus to minimize computation time. A computer simulation is performed in which a 9 source point distribution irradiates a 3-D object (64 X 64 X 64 voxels thick). The initial (first step) and final (second step) reconstructions of the objects are presented. The speed of convergence and the quality of the results are discussed.

Citation Download Citation

Mohsine El Alaoui, Isabelle E. Magnin, and Michel Amiel "Simulated annealing image reconstruction for an x-ray coded source tomograph", Proc. SPIE 1569, Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision, (1 October 1991); https://doi.org/10.1117/12.48368

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