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Depth-resolved analytical model and correction algorithm for photothermal optical coherence tomography.

Maryse Lapierre-Landry1, Jason M Tucker-Schwartz1, Melissa C Skala1

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|July 23, 2016
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Summary
This summary is machine-generated.

We developed a theoretical model and an algorithm for Photothermal OCT (PT-OCT) imaging. This advances PT-OCT by optimizing parameters and reducing artifacts for better molecular imaging.

Keywords:
(110.4500) Optical coherence tomography(350.5340) Photothermal effects

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Area of Science:

  • Biomedical Optics
  • Molecular Imaging
  • Optical Coherence Tomography

Background:

  • Photothermal OCT (PT-OCT) is an emerging molecular imaging technique.
  • PT-OCT bridges the gap between microscopy and whole-body imaging.
  • A theoretical model and improved algorithms are needed to optimize PT-OCT.

Purpose of the Study:

  • To propose the first analytical PT-OCT model for simulating experimental A-scans.
  • To introduce the PT-CLEAN algorithm for reducing PT-OCT artifacts.
  • To validate the model and algorithm using phantoms and in vivo studies.

Main Methods:

  • Developed an analytical model for PT-OCT A-scan simulation.
  • Proposed the PT-CLEAN algorithm to mitigate phase-accumulation and shadowing artifacts.
  • Tested the model and algorithm on homogeneous and layered phantoms, and in vivo mouse tumors.

Main Results:

  • The analytical model accurately replicates experimental PT-OCT A-scans.
  • The PT-CLEAN algorithm effectively reduces phase-accumulation and shadowing.
  • Successful demonstration of the model and algorithm on various samples.

Conclusions:

  • The proposed analytical model provides a theoretical foundation for PT-OCT.
  • The PT-CLEAN algorithm enhances the quality of PT-OCT images.
  • These advancements will aid in optimizing PT-OCT imaging parameters and processing.