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

Hans Verstraete, M. Heisler, M.J. Ju, D. Wahl, Laurens Bliek, Jeroen Kalkman, S. Bonora, Y Jian, Michel Verhaegen, M.V. Sarunic

Research output: Contribution to journalArticleScientificpeer-review

18 Citations (Scopus)

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.

Original languageEnglish
Article number#280260
Pages (from-to)2261-2275
JournalBiomedical Optics Express
Volume8
Issue number4
DOIs
Publication statusPublished - 2017

Keywords

  • Active or adaptive optics
  • Algorithms
  • Optical coherence tomography

Fingerprint Dive into the research topics of 'Wavefront sensorless adaptive optics OCT with the DONE algorithm for in vivo human retinal imaging'. Together they form a unique fingerprint.

  • Cite this