Correcting intra-volume distortion for AO-OCT using 3D correlation based registration

Phase-restoring subpixel image registration: enhancing motion detection performance in Fourier-domain optical coherence tomography

Phase-sensitive Fourier-domain optical coherence tomography (FD-OCT) enables in-vivo, label-free imaging of cellular movements with detection sensitivity down to the nanometer scale, and it is widely employed in emerging functional imaging modalities, such as optoretinography (ORG), Doppler OCT, and optical coherence elastography. However, when imaging tissue dynamics in vivo, inter-frame displacement introduces decorrelation noise that compromises motion detection performance, particularly in terms of sensitivity and accuracy. Here, we demonstrate that the displacement-related decorrelation noise in FD-OCT can be accurately corrected by restoring the initial sampling points using our proposed Phase-Restoring Subpixel Image Registration (PRESIR) method. Derived from a general FD-OCT model, the PRESIR method enables translational shifting of complex-valued OCT images over arbitrary displacements with subpixel precision, while accurately restoring phase components. Unlike conventional approaches that shift OCT images either in the spatial domain at the pixel level or in the spatial frequency domain for subpixel correction, our method reconstructs OCT images by correcting axial displacement in the spectral domain (k domain) and lateral displacement in the spatial frequency domain. We validated the PRESIR method through simulations, phantom experiments, and in-vivo ORG in both rodents and human subjects. Our approach significantly reduced decorrelation noise during the imaging of moving samples, achieving phase sensitivity close to the fundamental limit determined by the signal-to-noise ratio.

Volumetric imaging of trabecular meshwork dynamic motion using 600 kHz swept source optical coherence tomography

The motion of the trabecular meshwork (TM) facilitates the aqueous drainage from the anterior chamber to the venous system, thereby maintaining normal intraocular pressure. As such, characterizing the TM motion is valuable for assessing the functionality of the aqueous outflow system, as demonstrated by previous phase-sensitive optical coherence tomography (OCT) studies. Current methods typically acquire motion from a single cross-sectional plane along the circumference of the anterior chamber. While effective, the lateral scan pattern only intersects one spatial location on the TM at a time, significantly limiting examination throughput. In this study, we introduce the first volumetric imaging approach for assessing TM motion. Rather than monitoring a single cross-sectional plane, our method employs repeated volumetric scans, allowing for simultaneous observation of a continuous TM band spanning two millimeters. We also show that the field of view could be further expanded by stitching multiple scans. To ensure robust data processing, we developed a customized volume registration algorithm to correct motion artifacts and an automated segmentation algorithm to identify the TM boundary based on the correlation of OCT phase dynamics with heartbeats. Imaging results from a healthy subject confirmed the feasibility of our approach, revealing considerable variation in TM motions at different spatial locations through the stitching process. This proposed methodology offers unprecedented capabilities and examination throughput in the biomechanical imaging of the TM, providing significant scientific insights and diagnostic value for identifying abnormalities in aqueous outflow.

Light-adapted flicker-optoretinography based on raster-scan optical coherence tomography towards clinical translation

Optoretinography (ORG) is a promising non-invasive and objective technique for assessing retinal function by measuring its response to light stimulation. Optical coherence tomography (OCT) has emerged as a promising tool for implementing ORG due to its three-dimensional imaging capabilities, high sensitivity to nanometer-scale changes induced by light stimulation, and clinical availability. Although ORG has proven feasible in laboratory settings, research-grade OCT systems lack satisfactory usability and cost-effectiveness to be clinically viable. Standard clinical raster-scan OCT systems, with their limited imaging speed, fall short of the requirements for measuring rapid ORG responses. To bridge this gap, we introduce a flicker-ORG modality based on a raster-scan OCT system that resembles standard clinical OCT. This system overcomes speed limitations through an innovative two-stage scanning protocol coupled with a 600 kHz swept source, enabling repeated volume imaging and precise retinal activity measurements over a finite area. Additionally, the light-adapted ORG strategy eliminates the need for dark adaptation, allowing examinations under photopic conditions and thus improving patient compliance. We tested this new ORG method by measuring flicker-induced photoreceptor responses in five healthy subjects. The results demonstrated high repeatability and revealed dependencies of the ORG response on flicker frequency and retinal eccentricity. These findings, combined with the system's utility, cost-effectiveness, and ease of integration into existing technologies, underscore its substantial potential for clinical application.

Subpixel motion artifacts correction and motion estimation for 3D-OCT

A number of hardware-based and software-based strategies have been suggested to eliminate motion artifacts for improvement of 3D-optical coherence tomography (OCT) image quality. However, the hardware-based strategies have to employ additional hardware to record motion compensation information. Many software-based strategies have to need additional scanning for motion correction at the expense of longer acquisition time. To address this issue, we propose a motion artifacts correction and motion estimation method for OCT volumetric imaging of anterior segment, without requirements of additional hardware and redundant scanning. The motion correction effect with subpixel accuracy for in vivo 3D-OCT has been demonstrated in experiments. Moreover, the physiological information of imaging object, including respiratory curve and respiratory rate, has been experimentally extracted using the proposed method. The proposed method offers a powerful tool for scientific research and clinical diagnosis in ophthalmology and may be further extended for other biomedical volumetric imaging applications.

Quantifying image quality in AOSLO images of photoreceptors

The use of "quality" to describe the usefulness of an image is ubiquitous but is often subject to domain specific constraints. Despite its continued use as an imaging modality, adaptive optics scanning light ophthalmoscopy (AOSLO) lacks a dedicated metric for quantifying the quality of an image of photoreceptors. Here, we present an approach to evaluating image quality that extracts an estimate of the signal to noise ratio. We evaluated its performance in 528 images of photoreceptors from two AOSLOs, two modalities, and healthy or diseased retinas. The algorithm was compared to expert graders' ratings of the images and previously published image quality metrics. We found no significant difference in the SNR and grades across all conditions. The SNR and the grades of the images were moderately correlated. Overall, this algorithm provides an objective measure of image quality that closely relates to expert assessments of quality in both confocal and split-detector AOSLO images of photoreceptors.

Effect of fixational eye movements in corneal topography measurements with optical coherence tomography

There is an increasing interest in applying optical coherence tomography (OCT) to quantify the topography of ocular structures. However, in its most usual configuration, OCT data is acquired sequentially while a beam is scanned through the region of interest, and the presence of fixational eye movements can affect the accuracy of the technique. Several scan patterns and motion correction algorithms have been proposed to minimize this effect, but there is no consensus on the ideal parameters to obtain a correct topography. We have acquired corneal OCT images with raster and radial patterns, and modeled the data acquisition in the presence of eye movements. The simulations replicate the experimental variability in shape (radius of curvature and Zernike polynomials), corneal power, astigmatism, and calculated wavefront aberrations. The variability of the Zernike modes is highly dependent on the scan pattern, with higher variability in the direction of the slow scan axis. The model can be a useful tool to design motion correction algorithms and to determine the variability with different scan patterns.

Characterizing cone spectral classification by optoretinography

Light propagation in photoreceptor outer segments is affected by photopigment absorption and the phototransduction amplification cascade. Photopigment absorption has been studied using retinal densitometry, while recently, optoretinography (ORG) has provided an avenue to probe changes in outer segment optical path length due to phototransduction. With adaptive optics (AO), both densitometry and ORG have been used for cone spectral classification based on the differential bleaching signatures of the three cone types. Here, we characterize cone classification by ORG, implemented in an AO line-scan optical coherence tomography (OCT), and compare it against densitometry. The cone mosaics of five color normal subjects were classified using ORG showing high probability (∼0.99), low error (<0.22%), high test-retest reliability (∼97%), and short imaging durations (< 1 hour). Of these, the cone spectral assignments in two subjects were compared against AO-scanning laser opthalmoscope densitometry. High agreement (mean: 91%) was observed between the two modalities in these two subjects, with measurements conducted 6-7 years apart. Overall, ORG benefits from higher sensitivity and dynamic range to probe cone photopigments compared to densitometry, and thus provides greater fidelity for cone spectral classification.

Towards distortion-free imaging of the eye

The high power of the eye and optical components used to image it result in "static" distortion, remaining constant across acquired retinal images. In addition, raster-based systems sample points or lines of the image over time, suffering from "dynamic" distortion due to the constant motion of the eye. We recently described an algorithm which corrects for the latter problem but is entirely blind to the former. Here, we describe a new procedure termed "DIOS" (Dewarp Image by Oblique Shift) to remove static distortion of arbitrary type. Much like the dynamic correction method, it relies on locating the same tissue in multiple frames acquired as the eye moves through different gaze positions. Here, the resultant maps of pixel displacement are used to form a sparse system of simultaneous linear equations whose solution gives the common warp seen by all frames. We show that the method successfully handles torsional movement of the eye. We also show that the output of the previously described dynamic correction procedure may be used as input for this new procedure, recovering an image of the tissue that is, in principle, a faithful replica free of any type of distortion. The method could be extended beyond ocular imaging, to any kind of imaging system in which the image can move or be made to move across the detector.

Feature issue introduction: applications of adaptive optics

This feature issue of Optics Express follows the 2020 Imaging and Applied Optics Congress and comprises of articles on the development and use of adaptive optics across the broad range of domains in which the technique has been applied - including atmospheric correction, ophthalmology, vision science, microscopy, optical communications and beam control. This review provides a basic introduction to adaptive optics and a summary of the multidisciplinary articles included in this issue.