TY - ADVS
T1 - Real time optimization algorithm for wavefront sensorless adaptive optics OCT (Conference Presentation)
AU - Verstraete, H.R.G.W.
AU - Heisler, Morgan
AU - Ju, Meyeong Jin
AU - Wahl, Daniel J.
AU - Bliek, L.
AU - Kalkman, Jeroen
AU - Bonora, Stefano
AU - Sarunic, Marinko V.
AU - Verhaegen, Michel
AU - Jian, Yifan
N1 - Conference presentation
PY - 2017
Y1 - 2017
N2 - Optical Coherence Tomography (OCT) has revolutionized modern ophthalmology, providing depth resolved images of the retinal layers in a system that is suited to a clinical environment. A limitation of the performance and utilization of the OCT systems has been the lateral resolution. Through the combination of wavefront sensorless adaptive optics with dual variable optical elements, we present a compact lens based OCT system that is capable of imaging the photoreceptor mosaic. We utilized a commercially available variable focal length lens to correct for a wide range of defocus commonly found in patient eyes, and a multi-actuator adaptive lens after linearization of the hysteresis in the piezoelectric actuators for aberration correction to obtain near diffraction limited imaging at the retina. A parallel processing computational platform permitted real-time image acquisition and display. The Data-based Online Nonlinear Extremum seeker (DONE) algorithm was used for real time optimization of the wavefront sensorless adaptive optics OCT, and the performance was compared with a coordinate search algorithm. Cross sectional images of the retinal layers and en face images of the cone photoreceptor mosaic acquired in vivo from research volunteers before and after WSAO optimization are presented. Applying the DONE algorithm in vivo for wavefront sensorless AO-OCT demonstrates that the DONE algorithm succeeds in drastically improving the signal while achieving a computational time of 1 ms per iteration, making it applicable for high speed real time applications.
AB - Optical Coherence Tomography (OCT) has revolutionized modern ophthalmology, providing depth resolved images of the retinal layers in a system that is suited to a clinical environment. A limitation of the performance and utilization of the OCT systems has been the lateral resolution. Through the combination of wavefront sensorless adaptive optics with dual variable optical elements, we present a compact lens based OCT system that is capable of imaging the photoreceptor mosaic. We utilized a commercially available variable focal length lens to correct for a wide range of defocus commonly found in patient eyes, and a multi-actuator adaptive lens after linearization of the hysteresis in the piezoelectric actuators for aberration correction to obtain near diffraction limited imaging at the retina. A parallel processing computational platform permitted real-time image acquisition and display. The Data-based Online Nonlinear Extremum seeker (DONE) algorithm was used for real time optimization of the wavefront sensorless adaptive optics OCT, and the performance was compared with a coordinate search algorithm. Cross sectional images of the retinal layers and en face images of the cone photoreceptor mosaic acquired in vivo from research volunteers before and after WSAO optimization are presented. Applying the DONE algorithm in vivo for wavefront sensorless AO-OCT demonstrates that the DONE algorithm succeeds in drastically improving the signal while achieving a computational time of 1 ms per iteration, making it applicable for high speed real time applications.
UR - https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10073/100731B/Real-time-optimization-algorithm-for-wavefront-sensorless-adaptive-optics-OCT/10.1117/12.2252732.full
U2 - 10.1117/12.2252732.5380600115001
DO - 10.1117/12.2252732.5380600115001
M3 - Web publication/site
PB - SPIE
CY - Bellingham, WA, USA
T2 - Adaptive Optics and Wavefront Control for Biological Systems III
Y2 - 28 January 2017 through 30 January 2017
ER -