Solution to the inverse scattering problem using a modified distorted Born iterative algorithm

Presents a new distorted Born iterative algorithm for diffraction tomography which introduces kernel distortions only at carefully selected pixel locations. This algorithm attains the performance levels achieved by existing distorted Born iterative techniques, while maintaining the robustness of the...

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Bibliographic Details
Main Authors: Haddadin, O.S., Lucas, S.D., Ebbini, E.S.
Format: Conference Proceeding
Language:English
Subjects:
Computational complexity
Convergence
Diffraction
Inverse problems
Iterative algorithms
Kernel
Noise level
Noise robustness
Tomography
Working environment noise
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Summary:Presents a new distorted Born iterative algorithm for diffraction tomography which introduces kernel distortions only at carefully selected pixel locations. This algorithm attains the performance levels achieved by existing distorted Born iterative techniques, while maintaining the robustness of the Born iterative technique, especially in noisy situations. In addition, the algorithm has lower computational complexity and faster convergence rate when compared with existing distorted Born iterative algorithms. The authors present numerical simulations of the algorithm in noisy and noise-free environments. They also discuss an elementary experimental setup which is being used to validate their tomographic imaging algorithms.
ISSN:1051-0117
DOI:10.1109/ULTSYM.1995.495819