Time-Resolved Spectral Optical Breast Tomography
Abstract
The research carried out during the current reporting period involved: (a) developing and enhancing the 3D tomographic image reconstruction algorithm to use a L-curve method guided by the signal-to-noise ratio of the data set to determine the regularization parameter; (b) developing and enhancing the 3D tomographic image reconstruction algorithm to make use of spectral information in multiple wavelength measurements; (c) developing a novel information theory approach to analyze the data set for image reconstruction; and (d) extending the range of applicability of the linear inversion scheme for optical imaging using a nonlinear correction factor for inhomogeneities strong in absorption. The L-curve method guided by the signal-to-noise ratio of the data set and the information theory approach using independent component analysis to analyze the data set were found to improve the quality of image reconstruction. The correction for the nonlinear effect of the multiple passages of an absorption site by light was shown to be essential in optical imaging to characterize properly inhomogeneities strong in absorption. The theoretical formalism and computer algorithm for 3D tomographic image reconstruction shows with simulated data and preliminary experimental data the potential to provide fast 3D images of the scattering and absorption objects at various depths in turbid media.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2004
- Accession Number
- ADA427245
Entities
People
- Melvin Lax
- Min Xu
Organizations
- City College of New York