Diffuse Optical Imaging Using Decomposition Methods
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2012
- Source ID
- 10.1155/2012/185435
Entities
People
- Binlin Wu
- M. Alrubaiee
- Min Xu
- S. K. Gayen
- W. Cai
Organizations
- City College of New York
- Fairfield University
- United States Army Medical Research and Development Command