Cross‐scanning optical coherence tomography angiography for eye motion correction

Kim, Hyung Jin; Song, Byeong Joo; Choi, Youngwoon; Kim, Beop Min

doi:10.1002/jbio.202000170

Cited by 6 publications

(6 citation statements)

References 40 publications

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“…Note that the reproducibility of the representative pathological case in Fig. 9 is also much higher than the one shown by Kim et al [37], who used a scanner that acquires both orthogonal volumes at the same time. At the cost of increased system complexity, this simplifies the problem substantially, because only half the number of displacements need to be estimated.…”

Section: Discussionmentioning

confidence: 68%

Efficient and high accuracy 3-D OCT angiography motion correction in pathology

Ploner,

Kraus,

Moult

et al. 2020

Preprint

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We propose a novel method for non-rigid 3-D motion correction of orthogonally rasterscanned optical coherence tomography angiography volumes. This is the first approach that aligns predominantly axial structural features like retinal layers and transverse angiographic vascular features in a joint optimization. Combined with the use of orthogonal scans and favorization of kinematically more plausible displacements, the approach allows subpixel alignment and micrometer-scale distortion correction in all 3 dimensions. As no specific structures or layers are segmented, the approach is by design robust to pathologic changes. It is furthermore designed for highly parallel implementation and brief runtime, allowing its integration in clinical routine even for high density or wide-field scans. We evaluated the algorithm with metrics related to clinically relevant features in a large-scale quantitative evaluation based on 204 volumetric scans of 17 subjects including both a wide range of pathologies and healthy controls. Using this method, we achieve state-of-the-art axial performance and show significant advances in both transverse co-alignment and distortion correction, especially in the pathologic subgroup.

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Section: Discussionmentioning

confidence: 68%

Efficient and high accuracy 3-D OCT angiography motion correction in pathology

Ploner,

Kraus,

Moult

et al. 2020

Preprint

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“…Other related retinal methods include those by Lezama et al., 27 who also used a segmentation approach, and by Kim et al. 18 who performed simultaneous orthogonal scanning by means of two perpendicularly polarized beams. Our method could also be applicable for retinal imaging, including OCT angiography (OCT-A), upon redesigning the scanning and microscope objective and imaging system of the OCT apparatus.…”

Section: Discussionmentioning

confidence: 99%

“…An advantage of our approach is that every target surface is represented as a polynomial curve, so the difference between different B-scans can be calculated with low computational cost by the comparison of polynomial parameters rather than complicated and time-consuming cross-correlation, 18 , 27 or local pairwise phase correlation. 31 Although the simulated motion in this preliminary ( ex-vivo ) proof-of-concept study does not reflect the complex movements of the living eye, most involuntary and physiological ocular (lateral and axial) motion is expected to fall within the range from 0 to 5 Hz (including micro saccades 32 ), which is much smaller than our B-scan rate of 100 Hz.…”

Section: Discussionmentioning

confidence: 99%

“…While a wealth of methods has been developed and explored to compensate for ocular motion during OCT imaging of the retina (both hardware-based 11 , 12 and software-based solutions 13 – 18 ), fewer works have focused on motion-compensated OCT-based measurements of the cornea. 5 , 19 , 20 Most of those are targeted toward corneal topography applications, 19 , 20 assume the surface to be perfectly spherical 20 or use a spherical model to estimate corneal curvature, 5 and are based on time-costly postprocessing algorithms.…”

Section: Introductionmentioning

confidence: 99%

“… 5 , 19 , 20 Most of those are targeted toward corneal topography applications, 19 , 20 assume the surface to be perfectly spherical 20 or use a spherical model to estimate corneal curvature, 5 and are based on time-costly postprocessing algorithms. 5 , 18 , 19 …”

Section: Introductionmentioning

confidence: 99%

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Higher-order regression three-dimensional motion-compensation method for real-time optical coherence tomography volumetric imaging of the cornea

2022

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. Significance: Optical coherence tomography (OCT) allows high-resolution volumetric three-dimensional (3D) imaging of biological tissues in vivo . However, 3D-image acquisition can be time-consuming and often suffers from motion artifacts due to involuntary and physiological movements of the tissue, limiting the reproducibility of quantitative measurements. Aim: To achieve real-time 3D motion compensation for corneal tissue with high accuracy. Approach: We propose an OCT system for volumetric imaging of the cornea, capable of compensating both axial and lateral motion with micron-scale accuracy and millisecond-scale time consumption based on higher-order regression. Specifically, the system first scans three reference -mode images along the -axis before acquiring a standard C-mode image. The difference between the reference and volumetric images is compared using a surface-detection algorithm and higher-order polynomials to deduce 3D motion and remove motion-related artifacts. Results: System parameters are optimized, and performance is evaluated using both phantom and corneal ( ex vivo ) samples. An overall motion-artifact error of microns and processing time of about 3.40 ms for each B-scan was achieved. Conclusions: Higher-order regression achieved effective and real-time compensation of 3D motion artifacts during corneal imaging. The approach can be expanded to 3D imaging of other ocular tissues. Implementing such motion-compensation strategies has the potential to improve the reliability of objective and quantitative information that can be extracted from volumetric OCT measurements.

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Correction of refractive distortion in whole‐eye optical coherence tomography imaging of the mouse eye

Tan

Qiu

Ding

et al. 2022

Journal of Biophotonics

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Optical coherence tomography (OCT) is an imaging modality that acquires high‐resolution cross‐sectional images of living tissues and it has become the standard in ophthalmological diagnoses. However, most quantitative morphological measurements are based on the raw OCT images which are distorted by several mechanisms such as the refraction of probe light in the sample and the scan geometries and thus the analysis of the raw OCT images inevitably induced calculation errors. In this paper, based on Fermat's principle and the concept of inverse light tracing, image distortions due to refraction occurred at tissue boundaries in the whole‐eye OCT imaging of mouse by telecentric scanning were corrected. Specially, the mathematical correction models were deducted for each interface, and the high‐precision whole‐eye image was recovered segment by segment. We conducted phantom and in vivo experiments on mouse and human eyes to verify the distortion correction algorithm, and several parameters of the radius of curvature, thickness of tissues and error, were calculated to quantitatively evaluate the images. Experimental results demonstrated that the method can provide accurate and reliable measurements of whole‐eye parameters and thus be a valuable tool for the research and clinical diagnosis.

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Cross‐scanning optical coherence tomography angiography for eye motion correction

Cited by 6 publications

References 40 publications

Efficient and high accuracy 3-D OCT angiography motion correction in pathology

Efficient and high accuracy 3-D OCT angiography motion correction in pathology

Higher-order regression three-dimensional motion-compensation method for real-time optical coherence tomography volumetric imaging of the cornea

Correction of refractive distortion in whole‐eye optical coherence tomography imaging of the mouse eye

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