Wavefront sensorless adaptive optics OCT with the DONE algorithm for in vivo human retinal imaging

Journal article (2017)

Authors

H.R.G.W. Verstraete Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering
M. Heisler Simon Fraser University
M.J. Ju Simon Fraser University
D. Wahl Simon Fraser University
L. Bliek Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering
J. Kalkman ImPhys/Quantitative Imaging
Y Jian Simon Fraser University
M.H.G. Verhaegen Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering
M.V. Sarunic Simon Fraser University
Research Group
Team Raf Van de Plas (Mechanical, Maritime and Materials Engineering) (TU Delft)
Algorithms Optical coherence tomography Active or adaptive optics
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Published Date

2017

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Raf Van de Plas

Abstract

In this report, which is an international collaboration of OCT, adaptive optics, and control research, we demonstrate the data-based online nonlinear extremum-seeker (DONE) algorithm to guide the image based optimization for wavefront sensorless adaptive optics (WFSL-AO) OCT for in vivo human retinal imaging. The ocular aberrations were corrected using a multi-actuator adaptive lens after linearization of the hysteresis in the piezoelectric actuators. The DONE algorithm succeeded in drastically improving image quality and the OCT signal intensity, up to a factor seven, while achieving a computational time of 1 ms per iteration, making it applicable for many high speed applications. We demonstrate the correction of five aberrations using 70 iterations of the DONE algorithm performed over 2.8 s of continuous volumetric OCT acquisition. Data acquired from an imaging phantom and in vivo from human research volunteers are presented.

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