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Minimizing OCT quantification error via a surface-tracking imaging probe.

Hyeon-Cheol Park1, Ang Li1, Honghua Guan2

  • 1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21215, USA.

Biomedical Optics Express
|August 30, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel intraoperative optical coherence tomography (OCT) probe with surface-tracking capabilities. This innovation significantly improves the accuracy of brain cancer margin assessment by minimizing motion-related errors during surgery.

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Area of Science:

  • Biomedical Optics
  • Surgical Technology
  • Neuro-oncology

Background:

  • Optical coherence tomography (OCT) enables quantitative imaging of tissue optical properties for intraoperative brain cancer assessment.
  • Accurate analysis of attenuation coefficients is crucial but sensitive to variations in tissue surface position relative to the OCT imaging focus.
  • Physiological motions and complex surgical cavity geometry impede maintaining a stable tissue surface during intraoperative procedures.

Purpose of the Study:

  • To develop an intraoperative OCT imaging probe with integrated surface-tracking functionality.
  • To minimize quantification errors in optical attenuation measurements caused by dynamic tissue surface position variations.
  • To enhance the reliability of brain cancer margin assessment in challenging surgical environments.

Main Methods:

  • Engineered a compact OCT imaging probe with a long working distance (∼41 mm) and wide field of view (4×4 mm²), maintaining a small diameter (9 mm).
  • Integrated a piezo-based linear motor for real-time surface position feedback control, inferred from OCT images.
  • Implemented a GPU-assisted parallel processing algorithm for real-time tissue surface detection and tracking, suppressing >90% of physiological motion.

Main Results:

  • The developed surface-tracking OCT probe successfully maintained a stable beam focus within the target tissue, irrespective of surface geometry or physiological motion.
  • Achieved reliable tissue optical attenuation measurements, crucial for accurate intraoperative assessment.
  • Demonstrated significant suppression of motion-induced artifacts, enhancing imaging consistency.

Conclusions:

  • The surface-tracking intraoperative OCT imaging probe offers a robust solution for overcoming motion-related challenges in quantitative optical property imaging.
  • This technology enables reliable assessment of brain cancer margins during surgery, improving clinical decision-making.
  • The probe's design enhances clinical versatility for various intraoperative applications.