Time-Resolved Spectral Optical Breast Tomography
Abstract
The research carried out during the three years period involved: (a) extending the cumulant solution of radiative transfer to planar geometries and comparing with Monte Carlo simulations; (b) developing and enhancing the 3D tomographic image reconstruction algorithm by using the cumulant transport model and making use of a L-curve method guided by the signal-to-noise ratio; (c) deriving the nonlinear correction factor for optical imaging due to multiple passages of an absorption inhomogeneity by a photon and providing a measure of the efficacy of linear inversion schemes; (d) developing a novel' image reconstruction algorithm "optical imaging using independent component analysis (OPTICA)"; and (e) testing and demonstrating the efficacy of OPTICA in imaging absorption, scattering, and/or fluorescence inhomogeneities in turbid media. The cumulant transport model was found to provide a more accurate model than the conventional diffusion model for image reconstruction in turbid media such as human breasts. The novel image reconstruction algorithm OPTICA has been shown effective in resolving low contrast small absorption, scattering, and/or fluorescence inhomogeneities in turbid media. The theoretical formalism and computer algorithm for 3D tomographic image reconstruction shows with experimental data the potential to provide fast 3D images of small tumors in breasts at early stage of development.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2005
- Accession Number
- ADA439179
Entities
People
- Min Xu
Organizations
- City University of New York