Simultaneous reconstruction of absorption and scattering distributions in turbid media using a Born iterative method

Yuqi Yao, Yao Wang, Yaling Pei, Wenwu Zhu, Randall L. Barbour

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present a Born Iterative Method for imaging optical properties of turbid media using frequency-domain data. In each iteration, the incident field and the associated weight matrix are first recalculated based on the previous reconstructed image. A new estimate is then obtained by a multigrid finite difference method. The inversion is carried out through a Tikhonov regularized optimization process using the conjugate gradient descent. Using this method, the distribution of the complex wavenumbers in a test medium is first reconstructed, from which the absorption and scattering distributions are then derived. Simulation results have shown that this method can yield quantitatively quite accurate reconstruction even when a strong perturbation exists between the actual medium and an assumed homogeneous background medium, in which case the Born approximation cannot work well. Both full-angle and limited angle measurement schemes have been simulated to understand the effect of the location of detectors and sources.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsRandall L. Barbour, Mark J. Carvlin, Michael A. Fiddy
Pages96-107
Number of pages12
StatePublished - 1995
EventExperimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications - San Diego, CA, USA
Duration: Jul 10 1995Jul 11 1995

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2570
ISSN (Print)0277-786X

Other

OtherExperimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications
CitySan Diego, CA, USA
Period7/10/957/11/95

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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