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.

Original languageEnglish (US)
Article number35
Pages (from-to)201-208
Number of pages8
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume5690
DOIs
StatePublished - Jul 21 2005
EventCoherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine IX - San Jose, CA, United States
Duration: Jan 23 2005Jan 26 2005

Fingerprint

Optical tomography
Optical Coherence Tomography
Least-Squares Analysis
tomography
Scattering
Contrast Media
profiles
scattering
noise tolerance
attenuation
absorption spectra
Noise
Absorption spectra
Tissue
simulation

Keywords

  • Absorption
  • Least-squares
  • Optical coherence tomography
  • Scattering

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Cite this

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title = "A least-squares fitting algorithm for separating absorption and scattering profiles in spectroscopic optical coherence tomography",
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.",
keywords = "Absorption, Least-squares, Optical coherence tomography, Scattering",
author = "Chenyang Xu and Marks, {Daniel L.} and Do, {Minh N.} and Boppart, {Stephen A.}",
year = "2005",
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day = "21",
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language = "English (US)",
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T1 - A least-squares fitting algorithm for separating absorption and scattering profiles in spectroscopic optical coherence tomography

AU - Xu, Chenyang

AU - Marks, Daniel L.

AU - Do, Minh N.

AU - Boppart, Stephen A.

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N2 - 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.

AB - 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.

KW - Absorption

KW - Least-squares

KW - Optical coherence tomography

KW - Scattering

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