Nonlinear distortion correction for posterior eye segment optical coherence tomography with application to tree shrews

Grytz, Rafael; Hamdaoui, Mustapha El; Fuchs, Preston A.; Fazio, Massimo A.; McNabb, Ryan P.; Kuo, Anthony N.; Girkin, Christopher A.; Samuels, Brian C

doi:10.1364/boe.447595

Cited by 8 publications

(4 citation statements)

References 39 publications

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“…A study by Quihong L. et al (2001) [ 33 ] documented a similar phenomenon where OCT retinal thickness measures were greater than those measured by histology; however, when the data were normalized, there were no significant differences between the two methods. One explanation for the smaller values measured via histological sections is tissue shrinkage and dehydration during the enucleation and fixation processes; additionally, it has been demonstrated that OCT can introduce measurement bias [ 34 ].…”

Section: Discussionmentioning

confidence: 99%

Cone Photoreceptor Loss in Light-Damaged Albino Rats

Benthal

McKeown

Kraft

2022

IJMS

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We investigated the etiology of decreased cone-driven vision in a light damage (LD) model of retinal degeneration. To induce slow, moderate degeneration, albino rats underwent low-intensity light exposure for 10 days. Electroretinography was utilized to assess physiologic function of the rod- and cone-driven retinal function in LD and control rats. Immunohistochemistry targeting cone arrestin allowed for quantification of cone density and for comparison of the decline in function. Photoreceptor loss was quantified by outer nuclear layer thickness decreases, as observed by optical coherence tomography and histology. The LD rats showed decreased rod- and cone-driven function with partial recovery 30 days after cessation of light exposure. In addition, LD rats showed decreased cone photoreceptor densities in the central retinal region compared to control rats. Our results demonstrate that the loss of cone-driven visual function induced by light damage is at least partially due to the death of cone photoreceptors.

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Section: Discussionmentioning

confidence: 99%

Cone Photoreceptor Loss in Light-Damaged Albino Rats

Benthal

McKeown

Kraft

2022

IJMS

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“…While larger animals, such as dogs, swine, and primates, have greater anatomical homology to humans, their use is limited by the cost of cohorts and ethical considerations. Tree shrews may be considered as an alternative glaucoma animal model given the presence of the laminar cribrosa in the eyes of these small animals ( 27 ). The ability to access refined measurements of glaucoma pathology in a longitudinal and non-invasive manner could improve the usability of these models moving forward ( 91 – 93 ).…”

Section: Discussionmentioning

confidence: 99%

“…Panda et al and Braeu et al employed these AI-driven approaches to identify novel morphological biomarkers for glaucoma in humans ( 20 , 26 ). These technologies were then successfully ‘reverse-translated’ in the tree shrew model ( 27 ) to better understand non-linear optical distortions present in OCT images. This knowledge could ultimately improve our glaucoma predictions in patients.…”

Section: Areas Of Research Opportunities For Reverse Translation Of A...mentioning

confidence: 99%

Reverse translation of artificial intelligence in glaucoma: Connecting basic science with clinical applications

Pasquale

Girard

et al. 2023

Front. Ophthalmol.

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Artificial intelligence (AI) has been approved for biomedical research in diverse areas from bedside clinical studies to benchtop basic scientific research. For ophthalmic research, in particular glaucoma, AI applications are rapidly growing for potential clinical translation given the vast data available and the introduction of federated learning. Conversely, AI for basic science remains limited despite its useful power in providing mechanistic insight. In this perspective, we discuss recent progress, opportunities, and challenges in the application of AI in glaucoma for scientific discoveries. Specifically, we focus on the research paradigm of reverse translation, in which clinical data are first used for patient-centered hypothesis generation followed by transitioning into basic science studies for hypothesis validation. We elaborate on several distinctive areas of research opportunities for reverse translation of AI in glaucoma including disease risk and progression prediction, pathology characterization, and sub-phenotype identification. We conclude with current challenges and future opportunities for AI research in basic science for glaucoma such as inter-species diversity, AI model generalizability and explainability, as well as AI applications using advanced ocular imaging and genomic data.

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“…As a result, OCT image analysis is inaccurate because of the spatial and optical distortions. In order to increase the accuracy of the curvature of surfaces and thickness between intermediate layers, distortion correction for OCT images is highly desired [11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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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Nonlinear distortion correction for posterior eye segment optical coherence tomography with application to tree shrews

Cited by 8 publications

References 39 publications

Cone Photoreceptor Loss in Light-Damaged Albino Rats

Cone Photoreceptor Loss in Light-Damaged Albino Rats

Reverse translation of artificial intelligence in glaucoma: Connecting basic science with clinical applications

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

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