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Related Experiment Video

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Wavefront sensorless adaptive optics OCT with the DONE algorithm for in vivo human retinal imaging [Invited].

Hans R G W Verstraete1, Morgan Heisler2, Myeong Jin Ju2

  • 1Delft Center for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD, Delft, The Netherlands.

Biomedical Optics Express
|July 25, 2017
PubMed
Summary

A new algorithm, DONE (Data-based Online Nonlinear Extremum-seeker), enhances optical coherence tomography (OCT) imaging by correcting ocular aberrations. This method significantly improves image quality and signal intensity for real-time retinal imaging applications.

Keywords:
(010.1080) Active or adaptive optics(110.4500) Optical coherence tomography(150.1135) Algorithms

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Area of Science:

  • Biomedical optics
  • Ophthalmic imaging
  • Control systems engineering

Background:

  • Adaptive optics (AO) systems are crucial for high-resolution retinal imaging.
  • Wavefront sensorless adaptive optics (WFSL-AO) offers an alternative to traditional AO methods.
  • Existing WFSL-AO algorithms can be computationally intensive, limiting real-time applications.

Purpose of the Study:

  • To introduce and validate the Data-based Online Nonlinear Extremum-seeker (DONE) algorithm.
  • To demonstrate the efficacy of DONE for wavefront sensorless adaptive optics optical coherence tomography (WFSL-AO OCT).
  • To assess the performance of DONE for in vivo human retinal imaging.

Main Methods:

  • Implementation of the DONE algorithm for image-based optimization in WFSL-AO OCT.
  • Correction of ocular aberrations using a multi-actuator adaptive lens with linearized piezoelectric actuators.
  • Validation using an imaging phantom and in vivo human retinal imaging.

Main Results:

  • The DONE algorithm achieved a significant improvement in OCT image quality and signal intensity (up to sevenfold).
  • Demonstrated a fast computational time of 1 ms per iteration, suitable for high-speed applications.
  • Successfully corrected five ocular aberrations within 70 iterations over 2.8 seconds of continuous volumetric OCT acquisition.

Conclusions:

  • The DONE algorithm provides an effective and efficient solution for wavefront sensorless adaptive optics in OCT.
  • This method significantly enhances in vivo human retinal imaging capabilities.
  • The speed and performance of DONE open possibilities for various high-speed biomedical imaging applications.