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Proceedings Paper

Weighted cost-function reconstruction in optical diffusion imaging
Author(s): Jong Chul Ye; Kevin J. Webb; Thomas J. Downar; Rick P. Millane
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Paper Abstract

A weighted distorted Born iterative method is presented for reconstruction optical diffusion images from scattering data. A generalization of the distorted Born iterative method that uses a preconditioned cost function and an elliptical constraint allows a weighting matrix to be applied to the gradient term in the iterative algorithm according to the reconstruction history. The proposed algorithm shows stable and fast convergence for reconstruction of high contrast inhomogeneities.

Paper Details

Date Published: 9 December 1997
PDF: 10 pages
Proc. SPIE 3171, Computational, Experimental, and Numerical Methods for Solving Ill-Posed Inverse Imaging Problems: Medical and Nonmedical Applications, (9 December 1997); doi: 10.1117/12.284714
Show Author Affiliations
Jong Chul Ye, Purdue Univ. (United States)
Kevin J. Webb, Purdue Univ. (United States)
Thomas J. Downar, Purdue Univ. (United States)
Rick P. Millane, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 3171:
Computational, Experimental, and Numerical Methods for Solving Ill-Posed Inverse Imaging Problems: Medical and Nonmedical Applications
Randall Locke Barbour; Mark J. Carvlin; Michael A. Fiddy, Editor(s)

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