Layer-stripping approach for recovery of scattering media from time-resolved data

Jeng-Hua Chang; Yao Wang; Raphael Aronson; Harry L. Graber; Randall Locke Barbour

doi:10.1117/12.139045

29 December 1992 Layer-stripping approach for recovery of scattering media from time-resolved data

Jeng-Hua Chang, Yao Wang, Raphael Aronson, Harry L. Graber, Randall Locke Barbour

Proceedings Volume 1767, Inverse Problems in Scattering and Imaging; (1992) https://doi.org/10.1117/12.139045
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

This paper studies the reconstruction of the absorption properties of a dense scattering medium from time-resolved data. A Progressive Expansion (PE) Algorithm, similar to a layer-stripping approach, has been developed. The method progressively evaluates increasing depths within the medium by successively considering signals entering the detector at increasing time following an incident pulse. In order to reduce the propagation of reconstruction errors occurring at shallower depths, an overlapping scheme is introduced which uses readings from several consecutive time intervals in the reconstruction. In each overlapping time interval, the region under consideration is solved using a perturbation approach recently described by our group. The proposed algorithm is applied to several inhomogeneous media containing simple structures. Two sets of data have been tested: one calculated according to the perturbation model; and the other by Monte Carlo simulations. The results show that the PE method, when combined with proper overlapping, can make effective use of the time-resolved data. Compared to our previous results with steady-state data, the present methods can probe deeper below the surface and produce a more accurate estimate.

Citation Download Citation

Jeng-Hua Chang, Yao Wang, Raphael Aronson, Harry L. Graber, and Randall Locke Barbour "Layer-stripping approach for recovery of scattering media from time-resolved data", Proc. SPIE 1767, Inverse Problems in Scattering and Imaging, (29 December 1992); https://doi.org/10.1117/12.139045

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