1 September 2005 Optical imaging of turbid media using independent component analysis: theory and simulation
Author Affiliations +
J. of Biomedical Optics, 10(5), 051705 (2005). doi:10.1117/1.2101568
Abstract
A new imaging approach for 3-D localization and characterization of objects in a turbid medium using independent component analysis (ICA) from information theory is developed and demonstrated using simulated data. This approach uses a multisource and multidetector signal acquisition scheme. ICA of the perturbations in the spatial intensity distribution measured on the medium boundary sorts out the embedded objects. The locations and optical characteristics of the embedded objects are obtained from a Green's function analysis based on any appropriate model for light propagation in the background medium. This approach is shown to locate and characterize absorptive and scattering inhomogeneities within highly scattering medium to a high degree of accuracy. In particular, we show this approach can discriminate between absorptive and scattering inhomogeneities, and can locate and characterize complex inhomogeneities, which are both absorptive and scattering. The influence of noise and uncertainty in background absorption or scattering on the performance of this approach is investigated.
M. Xu, Mohammad Alrubaiee, Swapan Kumar Gayen, Robert R. Alfano, "Optical imaging of turbid media using independent component analysis: theory and simulation," Journal of Biomedical Optics 10(5), 051705 (1 September 2005). http://dx.doi.org/10.1117/1.2101568
JOURNAL ARTICLE
12 PAGES


SHARE
KEYWORDS
Scattering

Absorption

Independent component analysis

Sensors

Light scattering

Diffusion

Optical imaging

Back to Top