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

Chenyang Xu; Daniel L. Marks; Minh N. Do; Stephen A. Boppart M.D.

doi:10.1117/12.592568

13 April 2005 A least-square fitting algorithm for separating absorption and scattering profiles in spectroscopic optical coherence tomography

Chenyang Xu, Daniel L. Marks, Minh N. Do, Stephen A. Boppart M.D.

Author Affiliations +

Proceedings Volume 5690, Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine IX; (2005) https://doi.org/10.1117/12.592568
Event: SPIE BiOS, 2005, San Jose, CA, United States

Abstract

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.

Citation Download Citation

Chenyang Xu, Daniel L. Marks, Minh N. Do, and Stephen A. Boppart M.D. "A least-square fitting algorithm for separating absorption and scattering profiles in spectroscopic optical coherence tomography", Proc. SPIE 5690, Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine IX, (13 April 2005); https://doi.org/10.1117/12.592568

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