Diffuse Optical Imaging Using Decomposition Methods

Authors

Binlin Wu, CUNY City CollegeFollow
M. Alrubaiee, CUNY City CollegeFollow
W. Cai, CUNY City CollegeFollow
M. Xu, Fairfield University
S. K. Gayen, CUNY City CollegeFollow

Document Type

Article

Publication Date

2012

Abstract

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.

Comments

This article was originally published in the International Journal of Optics, available at DOI: 10.1155/2012/185435.

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.