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2017 ; 8
(4
): 2261-2275
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Wavefront sensorless adaptive optics OCT with the DONE algorithm for in vivo
human retinal imaging Invited
#MMPMID28736670
Verstraete HRGW
; Heisler M
; Ju MJ
; Wahl D
; Bliek L
; Kalkman J
; Bonora S
; Jian Y
; Verhaegen M
; Sarunic MV
Biomed Opt Express
2017[Apr]; 8
(4
): 2261-2275
PMID28736670
show ga
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.