论文信息 - Application of genetic algorithms to ultrasonic tomography

Application of genetic algorithms to ultrasonic tomography

A new method for ultrasonic tomography based on genetic algorithms is proposed for the prediction of the geometry of an inclusion of known physical properties in a given specimen. New inversion operators are introduced in order to take full advantage of the physical properties of the system investigated. The efficiency of the proposed method is tested through a comparison with other existing techniques for the solution of the inverse problem. The accuracy of the procedure is verified by using a variety of sets of synthetic data. Good and fast convergence is obtained even in the case of complex geometries if parallel processing is adopted.

[1] R. Lewitt. Reconstruction algorithms: Transform methods , 1983, Proceedings of the IEEE.

[2] G. Herman,et al. Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and x-ray photography. , 1970, Journal of theoretical biology.

[3] P. Gilbert. Iterative methods for the three-dimensional reconstruction of an object from projections. , 1972, Journal of theoretical biology.

[4] P. Delsanto,et al. Connection machine simulation of ultrasonic wave propagation in materials. I: the one-dimensional case , 1997 .

[5] A. Kak. Computerized tomography with X-ray, emission, and ultrasound sources , 1979, Proceedings of the IEEE.

[6] M. Sambridge,et al. Genetic algorithms in seismic waveform inversion , 1992 .

[7] Pier Paolo Delsanto,et al. A Parallel Processing Approach to Acoustic Tomography , 1996 .

[8] R. Gordon. A tutorial on art (algebraic reconstruction techniques) , 1974 .

[9] Pier Paolo Delsanto,et al. Ultrasonic tomography using curved ray paths obtained by wave propagation simulations on a massively parallel computer , 1996 .