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International Journal of Optics
Volume 2012, Article ID 185435, 12 pages
Research Article

Diffuse Optical Imaging Using Decomposition Methods

1Department of Physics, The City College and The Graduate Center of The City University of New York, 160 Convent Avenue, New York, NY 10031, USA
2Department of Physics, Fairfield University, 1073 North Benson Road, Fairfield, CT 06824, USA

Received 25 September 2011; Revised 5 December 2011; Accepted 8 December 2011

Academic Editor: Baohong Yuan

Copyright © 2012 Binlin Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Diffuse optical imaging (DOI) for detecting and locating targets in a highly scattering turbid medium is treated as a blind source separation (BSS) problem. Three matrix decomposition methods, independent component analysis (ICA), principal component analysis (PCA), and nonnegative matrix factorization (NMF) were used to study the DOI problem. The efficacy of resulting approaches was evaluated and compared using simulated and experimental data. Samples used in the experiments included Intralipid-10% or Intralipid-20% suspension in water as the medium with absorptive or scattering targets embedded.