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Investigation of methods to extract confocal function parameters for the depth resolved determination of attenuation coefficients using OCT in intralipid samples, titanium oxide phantoms, and in vivo human retinas.
Kübler, Johannes; Zoutenbier, Vincent S; Amelink, Arjen; Fischer, Jörg; de Boer, Johannes F.
Affiliation
  • Kübler J; LaserLaB, Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, The Netherlands.
  • Zoutenbier VS; Heidelberg Engineering GmbH, Heidelberg, Germany.
  • Amelink A; LaserLaB, Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, The Netherlands.
  • Fischer J; LaserLaB, Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, The Netherlands.
  • de Boer JF; Department of Optics, Netherlands Organization for Applied Scientific Research, TNO, Delft, The Netherlands.
Biomed Opt Express ; 12(11): 6814-6830, 2021 Nov 01.
Article in En | MEDLINE | ID: mdl-34858682
ABSTRACT
The attenuation coefficient provides a quantitative parameter for tissue characterization and can be calculated from optical coherence tomography (OCT) data, but accurate determination requires compensation for the confocal function. We present extensive measurement series for extraction of the focal plane and the apparent Rayleigh length from the ratios of OCT images acquired with different focus depths and compare these results with two alternative approaches. By acquiring OCT images for a range of different focus depths the optimal focus plane difference is determined for intralipid and titanium oxide (TiO2) phantoms with different scatterer concentrations, which allows for calculation of the attenuation coefficient corrected for the confocal function. The attenuation coefficient is determined for homogeneous intralipid and TiO2 samples over a wide range of concentrations. We further demonstrate very good reproducibility of the determined attenuation coefficient of layers with identical scatter concentrations in a multi-layered phantom. Finally, this method is applied to in vivo retinal data.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Biomed Opt Express Year: 2021 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Biomed Opt Express Year: 2021 Document type: Article Affiliation country: