Weighted cost-function reconstruction in optical diffusion imaging

Jong Chul Ye; Kevin J. Webb; Thomas J. Downar; Rick P. Millane

doi:10.1117/12.284714

9 December 1997 Weighted cost-function reconstruction in optical diffusion imaging

Jong Chul Ye, Kevin J. Webb, Thomas J. Downar, Rick P. Millane

Author Affiliations +

Proceedings Volume 3171, Computational, Experimental, and Numerical Methods for Solving Ill-Posed Inverse Imaging Problems: Medical and Nonmedical Applications; (1997) https://doi.org/10.1117/12.284714
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

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.

Citation Download Citation

Jong Chul Ye, Kevin J. Webb, Thomas J. Downar, and Rick P. Millane "Weighted cost-function reconstruction in optical diffusion imaging", Proc. SPIE 3171, Computational, Experimental, and Numerical Methods for Solving Ill-Posed Inverse Imaging Problems: Medical and Nonmedical Applications, (9 December 1997); https://doi.org/10.1117/12.284714

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