Optical tomography using independent component analysis to detect absorptive, scattering, or fluorescent inhomogeneities in turbid media

M. Xu; M. Alrubaiee; S. K. Gayen; R. R. Alfano

doi:10.1117/12.592153

28 April 2005 Optical tomography using independent component analysis to detect absorptive, scattering, or fluorescent inhomogeneities in turbid media

M. Xu, M. Alrubaiee, S. K. Gayen, R. R. Alfano

Author Affiliations +

Proceedings Volume 5693, Optical Tomography and Spectroscopy of Tissue VI; (2005) https://doi.org/10.1117/12.592153
Event: SPIE BiOS, 2005, San Jose, CA, United States

Abstract

A new imaging approach for three-dimensional localization and characterization of absorptive, scattering or fluorescent objects in a turbid medium is presented and demonstrated using simulated and experimental data. This approach uses a multi-source and multi-detector signal acquisition scheme and independent component analysis (ICA) from information theory for target localization and characterization. Independent component analysis of the perturbation in the spatial intensity distribution or the fluorescent signal measured on the medium boundary sorts out the embedded objects. The location and optical characteristics (size, shape and optical property) of the embedded objects are obtained from a Green's function analysis based on an appropriate model for light propagation in the background medium and back-projections of the retrieved independent components.

Citation Download Citation

M. Xu, M. Alrubaiee, S. K. Gayen, and R. R. Alfano "Optical tomography using independent component analysis to detect absorptive, scattering, or fluorescent inhomogeneities in turbid media", Proc. SPIE 5693, Optical Tomography and Spectroscopy of Tissue VI, (28 April 2005); https://doi.org/10.1117/12.592153

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available