Diffuse Optical Imaging Using Decomposition Methods

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 factorizat...

Full description

Saved in:
Bibliographic Details
Published in:International journal of optics 2012-01, Vol.2012 (2012), p.1-12
Main Authors: Xu, M., Alrubaiee, M., Cai, W., Gayen, S. K., Wu, Binlin
Format: Article
Language:English
Subjects:
Absorptivity
Decomposition
Diffusion
Effectiveness
Factorization
Imaging
Information theory
Light
Medical imaging
Methods
Principal components analysis
Propagation
Scattering
Simulation
Studies
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1687-9384
1687-9392
DOI:10.1155/2012/185435