Diffuse Optical Imaging Using Decomposition Methods-Reference-Cited by-同舟云学术

Diffuse Optical Imaging Using Decomposition Methods

Published:2012 Issue: Volume:2012 Page:1-12
ISSN:1687-9384
Container-title:International Journal of Optics
language:en
Short-container-title:International Journal of Optics

Author:

Wu Binlin¹^ORCID,Alrubaiee M.¹,Cai W.¹,Xu M.²,Gayen S. K.¹

Affiliation:

1. Department of Physics, The City College and The Graduate Center of The City University of New York, 160 Convent Avenue, New York, NY 10031, USA

2. Department of Physics, Fairfield University, 1073 North Benson Road, Fairfield, CT 06824, USA

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.

Funder

U.S. Army Medical Research and Materiel Command

Publisher

Hindawi Limited

Subject

Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

http://downloads.hindawi.com/journals/ijo/2012/185435.pdf

Reference38 articles.

1. General approach to blind source separation

2. Blind signal separation: statistical principles

3. Learning the parts of objects by non-negative matrix factorization

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