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Adaptive Doppler analysis for robust handheld optical coherence elastography.

Farzana Zaki1, Yahui Wang1, Chizhong Wang1

  • 1Dept. of Electrical and Computer Engineering, New Jersey Institute of Technology, University Heights, Newark, New Jersey, USA, 07102.

Proceedings of Spie--The International Society for Optical Engineering
|July 24, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive Doppler analysis for handheld Optical Coherence Elastography (OCE) to track varying tissue motion. This method improves motion speed tracking in biological tissues for better mechanical characterization.

Keywords:
DopplerOptical coherence elastographyOptical coherence tomographyOptical sensing and sensorsTissue characterization

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Biophysics

Background:

  • Optical Coherence Tomography (OCT) provides high-resolution, high-speed imaging of biological tissues.
  • Optical Coherence Elastography (OCE), an extension of OCT, enables mechanical characterization of tissues.
  • Handheld fiber-optic OCE instruments offer convenient virtual palpation and can be integrated into needles for deep tissue access.

Purpose of the Study:

  • To address the challenge of non-constant motion in handheld OCE instruments.
  • To develop a simple and effective method for temporally and spatially adaptive Doppler analysis.
  • To optimize motion speed tracking, v(z,t), in deformed tissue under compression.

Main Methods:

  • Investigated a temporally and spatially adaptive Doppler analysis method.
  • Strategically selected the time interval (δt) for Doppler analysis to track motion speed.
  • Applied manual compression to a deformed sample volume to simulate tissue deformation.

Main Results:

  • The adaptive Doppler analysis method effectively tracks motion speed v(z,t) that varies with time (t) and depth (z).
  • The method allows for the strategic selection of an optimal time interval (δt).
  • Achieved a large, artifact-free Doppler phase shift for accurate motion tracking.

Conclusions:

  • The developed adaptive Doppler analysis is a simple and effective solution for motion tracking in handheld OCE.
  • This method enhances the capability of fiber-optic OCE instruments for reliable mechanical characterization of tissues.
  • Improved motion tracking is crucial for the clinical application of advanced OCT-based elastography techniques.