Adaptive Optics Retinal Imaging: Emerging Clinical Applications

Godara, Pooja; Dubis, Adam M.; Roorda, Austin; Duncan, Jacque L.; Carroll, Joseph

doi:10.1097/opx.0b013e3181ff9a8b

Cited by 151 publications

(103 citation statements)

References 90 publications

Supporting

Mentioning

103

Contrasting

Order By: Relevance

“…The use of adaptive optics (AO) is essential for high-resolution, in vivo retinal imaging with large numerical aperture (NA) (large imaging pupil) [1][2][3][4][5][6][7][8][9]. AO has been combined with various ocular imaging techniques in order to achieve diffraction-limited resolution by correcting optical aberrations; fundus photography [10] and Scanning Laser Ophthalmoscopy (SLO) [11][12][13][14] are two examples of biomedical applications with AO allowing reliable imaging of cone and rod photoreceptor mosaics.…”

Section: Introductionmentioning

confidence: 99%

In vivo imaging of human photoreceptor mosaic with wavefront sensorless adaptive optics optical coherence tomography

Wong¹,

Jian²,

Cua³

et al. 2015

Biomed. Opt. Express

View full text Add to dashboard Cite

Wavefront sensorless adaptive optics optical coherence tomography (WSAO-OCT) is a novel imaging technique for in vivo highresolution depth-resolved imaging that mitigates some of the challenges encountered with the use of sensor-based adaptive optics designs. This technique replaces the Hartmann Shack wavefront sensor used to measure aberrations with a depth-resolved image-driven optimization algorithm, with the metric based on the OCT volumes acquired in real-time. The custom-built ultrahigh-speed GPU processing platform and fast modal optimization algorithm presented in this paper was essential in enabling real-time, in vivo imaging of human retinas with wavefront sensorless AO correction. WSAO-OCT is especially advantageous for developing a clinical high-resolution retinal imaging system as it enables the use of a compact, low-cost and robust lens-based adaptive optics design. In this report, we describe our WSAO-OCT system for imaging the human photoreceptor mosaic in vivo. We validated our system performance by imaging the retina at several eccentricities, and demonstrated the improvement in photoreceptor visibility with WSAO compensation.

show abstract

Section: Introductionmentioning

confidence: 99%

In vivo imaging of human photoreceptor mosaic with wavefront sensorless adaptive optics optical coherence tomography

Wong¹,

Jian²,

Cua³

et al. 2015

Biomed. Opt. Express

View full text Add to dashboard Cite

show abstract

“…Despite these setbacks, AO fundus imaging has been a major breakthrough in terms of the resolution achieved. 6 …”

Section: Adaptive Optics (Ao) Retinal Imaging Systemsmentioning

confidence: 99%

Adaptive Optics

Ayachit¹

2015

Delhi Journal of Ophthalmology

View full text Add to dashboard Cite

show abstract

“…This work was extended in 1997 by Liang and Williams, who measured the eye aberrations up to a very high order (65 Zernike modes) and were the first to close an AO loop on an eye in vivo and to obtain sharper images of a human retina [3] -see also [4,5]. In the 2000s', as noted in a 2010 review of emerging clinical applications of this technique, 'AO imaging has changed the way vision scientists and ophthalmologists see the retina, helping to clarify our understanding of retinal structure, function, and the etiology of various retinal pathologies' [6]. Existing retinal imaging AO systems use the same integral-action controller popular in astronomical AO to compute DM controls from WFS measurements.…”

Section: Introductionmentioning

confidence: 99%

Eye-pupil displacement and prediction: effects on residual wavefront in adaptive optics retinal imaging

Kulcsár¹,

Raynaud²,

García-Rissmann³

2016

Biomed. Opt. Express

View full text Add to dashboard Cite

This paper studies the effect of pupil displacements on the best achievable performance of retinal imaging adaptive optics (AO) systems, using 52 trajectories of horizontal and vertical displacements sampled at 80 Hz by a pupil tracker (PT) device on 13 different subjects. This effect is quantified in the form of minimal root mean square (rms) of the residual phase affecting image formation, as a function of the delay between PT measurement and wavefront correction. It is shown that simple dynamic models identified from data can be used to predict horizontal and vertical pupil displacements with greater accuracy (in terms of average rms) over short-term time horizons. The potential impact of these improvements on residual wavefront rms is investigated. These results allow to quantify the part of disturbances corrected by retinal imaging systems that are caused by relative displacements of an otherwise fixed or slowly-varying subject-dependent aberration. They also suggest that prediction has a limited impact on wavefront rms and that taking into account PT measurements in real time improves the performance of AO retinal imaging systems.

show abstract

Adaptive Optics Retinal Imaging: Emerging Clinical Applications

Cited by 151 publications

References 90 publications

In vivo imaging of human photoreceptor mosaic with wavefront sensorless adaptive optics optical coherence tomography

In vivo imaging of human photoreceptor mosaic with wavefront sensorless adaptive optics optical coherence tomography

Adaptive Optics

Eye-pupil displacement and prediction: effects on residual wavefront in adaptive optics retinal imaging

Contact Info

Product

Resources

About