A least-squares fitting algorithm for separating absorption and scattering profiles in spectroscopic optical coherence tomography

Published

Journal Article

We report a new algorithm for spectroscopic optical coherence tomography (SOCT) that is theoretically optimal for extracting the spectral absorption profiles from turbid media when absorbing contrast agents are used. The algorithm is based on least-squares fitting of the extracted total attenuation spectra to the known absorption spectra of the contrast agents, while suppressing the contributions from spectrally dependent scattering attenuation. By this algorithm, the depth resolved contrast agent concentration can be measured even in the presence of high scattering. The accuracy and noise tolerance of the algorithm are analyzed by Monte-Carlo simulation. The algorithm was tested using single and multi-layer tissue phantoms.

Full Text

Duke Authors

Cited Authors

  • Xu, C; Marks, DL; Do, MN; Boppart, SA

Published Date

  • July 21, 2005

Published In

Volume / Issue

  • 5690 /

Start / End Page

  • 201 - 208

International Standard Serial Number (ISSN)

  • 1605-7422

Digital Object Identifier (DOI)

  • 10.1117/12.592568

Citation Source

  • Scopus