Retinal OCT Image Registration: Methods and Applications

Pan, Lingjiao; Chen, Xinjian

doi:10.1109/rbme.2021.3110958

Cited by 16 publications

(17 citation statements)

References 112 publications

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“…For repeated volumetric scans, the bulk motion in the slow-scan dimension was still corrected at the pixel level, which may be extended to subpixel-level in future studies. Besides, the current study assumes that each B-scan is only affected by rigid translational displacement, while future research may also estimate and correct non-rigid motions [33].…”

Section: Discussionmentioning

confidence: 99%

“…For high-speed phase-sensitive OCT imaging with repeated cross-sectional B-scans or repeated volumetric C-scans, image registration must be conducted in 2 or 3 DoFs in both the axial and the lateral directions. In previous studies, translational displacements between the reference and target images were estimated using normalized cross-correlation (NCC) based [28][29][30][31] or phase-only correlation (POC) based methods [32], while the image correction was achieved by shifting the complex-valued target image [33][34][35] or the 2~4 fold upsampled target image [28,29] in the unit of pixels. However, these techniques can only shift the OCT image by discrete distances restricted by the upsampling rate, and the computational and storage load will increase dramatically with more refined displacements.…”

Section: Introductionmentioning

confidence: 99%

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Phase-Restoring Subpixel Image Registration: Enhancing Motion Detection Performance in Fourier-domain Optical Coherence Tomography

Tan

Pandiyan

et al. 2022

Preprint

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Phase-sensitive Fourier-domain optical coherence tomography (FD-OCT) enables label-free imaging of cellular movements in vivo with detection sensitivity down to the nanometer scale. Due to this high sensitivity, it is widely employed in various emerging functional imaging modalities such as optoretinography (ORG), optical coherence elastography (OCE), and optical coherence tomography angiography (OCTA). However, achieving shot-noise limited detection sensitivity remains a major challenge for in-vivo measurements where the sample is constantly affected by vascular pulsation, breathing, eye and head motion, and other involuntary movements. Here, we propose a phase-restoring subpixel motion correction (PRSMC) method for post-hoc image registration in FD-OCT. Based on a generalized FD-OCT model, this method enables translational shifts of OCT images by arbitrary displacements while accurately restoring physically meaningful phase components, both with subpixel precision. With the sample movements estimated from averaged Doppler shift or normalized cross-correlation, we reconstructed the OCT images by correcting the axial displacement in the spectrum (k) domain and the lateral displacement in the spatial frequency domain, respectively. We validated our method in simulations, phantom experiments, and in-vivo optoretinogram imaging, where the advantages over conventional approaches for both amplitude stability and phase accuracy were demonstrated. Our approach significantly reduces the motion-induced phase error (MIPE) when imaging moving samples, achieving systematic phase sensitivities close to the shot-noise regime.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Phase-Restoring Subpixel Image Registration: Enhancing Motion Detection Performance in Fourier-domain Optical Coherence Tomography

Tan

Pandiyan

et al. 2022

Preprint

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“…Thus, the resized 𝑃 s (𝑥 s , 𝑦 s ) and 𝑃 r (𝑥 r , 𝑦 r ) can be represented as 𝑃 s ′(𝑥 𝑠 ′, 𝑦 s ′) (Figure 2(b1)) and 𝑃 r ′(𝑥 𝑟 ′, 𝑦 𝑟 ′) (Figure 2(b2)). Then equation ( 7) can be derived from ( 4), (5), and (6).…”

Section: Quantitative Simulation Of Rotational Movementmentioning

confidence: 99%

Rotational Distortion and Compensation in Optical Coherence Tomography with Anisotropic Pixel Resolution

Ma¹,

Son²,

Adejumo³

et al. 2022

Preprint

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Accurate image registration is essential for eye movement compensation in optical coherence tomography (OCT) and OCT angiography (OCTA). The spatial resolution of an OCT instrument is typically anisotropic, i.e., different resolutions in the lateral and axial dimensions. When OCT images have anisotropic pixel resolution, residual distortion (RD) and false translation (FT) were always observed after image registration for rotational movement. In this study, RD and FT were quantitively analyzed over different degrees of rotational movement and various lateral and axial pixel resolution ratio (RL/RA) values. The theoretical analysis confirmed that the RD and FT increase significantly with the rotation degree and RL/RA. An image resizing assisting registration (RAR) strategy was proposed for accurate image registration. The performance of direct registration (DR) and RAR for retinal OCT and OCTA images were quantitatively compared. Experimental results confirmed that unnormalized RL/RA causes RD and FT, RAR can effectively improve the performance of OCT and OCTA image registration and distortion compensation.

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“…Different approaches have been introduced to compensate for eye movements [ 5 ]. Image registration is a simple and low-cost strategy widely used in commercial systems [ 6 , 7 , 8 ]. Image registration benefits OCT data processing from two aspects.…”

Section: Introductionmentioning

confidence: 99%

Rotational Distortion and Compensation in Optical Coherence Tomography with Anisotropic Pixel Resolution

Son

Adejumo

et al. 2023

Bioengineering

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Accurate image registration is essential for eye movement compensation in optical coherence tomography (OCT) and OCT angiography (OCTA). The spatial resolution of an OCT instrument is typically anisotropic, i.e., has different resolutions in the lateral and axial dimensions. When OCT images have anisotropic pixel resolution, residual distortion (RD) and false translation (FT) are always observed after image registration for rotational movement. In this study, RD and FT were quantitively analyzed over different degrees of rotational movement and various lateral and axial pixel resolution ratio (RL/RA) values. The RD and FT provide the evaluation criteria for image registration. The theoretical analysis confirmed that the RD and FT increase significantly with the rotation degree and RL/RA. An image resizing assisting registration (RAR) strategy was proposed for accurate image registration. The performance of direct registration (DR) and RAR for retinal OCT and OCTA images were quantitatively compared. Experimental results confirmed that unnormalized RL/RA causes RD and FT; RAR can effectively improve the performance of OCT and OCTA image registration and distortion compensation.

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Retinal OCT Image Registration: Methods and Applications

Cited by 16 publications

References 112 publications

Phase-Restoring Subpixel Image Registration: Enhancing Motion Detection Performance in Fourier-domain Optical Coherence Tomography

Phase-Restoring Subpixel Image Registration: Enhancing Motion Detection Performance in Fourier-domain Optical Coherence Tomography

Rotational Distortion and Compensation in Optical Coherence Tomography with Anisotropic Pixel Resolution

Rotational Distortion and Compensation in Optical Coherence Tomography with Anisotropic Pixel Resolution

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