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

• Published in: Biomedical optics express Vol. 8; no. 4; pp. 2261 - 2275
• Main Authors: Verstraete, Hans R. G. W., Heisler, Morgan, Ju, Myeong Jin, Wahl, Daniel, Bliek, Laurens, Kalkman, Jeroen, Bonora, Stefano, Jian, Yifan, Verhaegen, Michel, Sarunic, Marinko V.
• Format: Journal Article
• Language: English
• Published: United States Optical Society of America 01.04.2017
• Subjects: (110.4500) Optical coherence tomography; (010.1080) Active or adaptive optics; (150.1135) Algorithms
• ISSN: 2156-7085; 2156-7085
• DOI: 10.1364/BOE.8.002261

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 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 from human research volunteers are presented.