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A new signal processing method simplifies polarization-sensitive optical coherence tomography (PS-OCT) for intravascular imaging. This technique enables accurate assessment of coronary artery disease using simplified hardware, improving clinical translation.

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Cardiovascular Research

Background:

  • Polarization-sensitive optical coherence tomography (PS-OCT) enhances structural imaging with morphological contrast.
  • Clinical application of PS-OCT is hindered by hardware modifications required for polarimetric measurements.

Purpose of the Study:

  • To develop a signal processing method for PS-OCT that reconstructs tissue polarization properties using a single input polarization state.
  • To simplify hardware requirements for intravascular PS-OCT, facilitating clinical translation.

Main Methods:

  • A novel signal processing approach utilizing polarization symmetry in round-trip measurements.
  • Employing residual spectral variation of incident polarization states to resolve ambiguities.
  • Reconstruction of depth-resolved birefringence and optic axis orientation maps from in-vivo human coronary artery data.

Main Results:

  • Demonstrated accurate reconstruction of birefringence and optic axis orientation maps.
  • Validated the method against conventional dual-input state measurements, showing a mean cumulative retardance error of 13.2 degrees.
  • Achieved a 95% limit of agreement for depth-resolved birefringence (2.80 × 10⁻⁴) comparable to conventional PS-OCT repeat pullbacks (3.14 × 10⁻⁴).

Conclusions:

  • The developed signal processing method effectively reconstructs polarization properties using a single input state, simplifying PS-OCT hardware.
  • This simplification is crucial for the clinical adoption of PS-OCT in assessing coronary atherosclerosis.
  • The method shows high accuracy and agreement, making it interchangeable with conventional PS-OCT techniques.