Ultra-wide-field fundus photography compared to ophthalmoscopy in diagnosing and classifying major retinal diseases

Midena, Edoardo; Marchione, Giulia; Giorgio, S. Di; Rotondi, G.; Longhin, Evelyn; Frizziero, Luisa; Pilotto, Elisabetta; Parrozzani, Raffaele; Midena, Giulia

doi:10.1038/s41598-022-23170-4

Cited by 6 publications

(4 citation statements)

References 25 publications

(62 reference statements)

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“…Ultra-wide field (UWF) imaging system allows the capture of 200 degrees of the retina (approximately 82% of retinal surface area) in a single shot. It provides non-contact, high-resolution images for clinicians to analyze retinal disorders ( 124 , 125 ). Imaging using the UWF system can also suffer from illumination problems and haze effects due to imperfect photographing conditions.…”

Section: Potential Applicationsmentioning

confidence: 99%

Computational single fundus image restoration techniques: a review

Zhang,

Webers,

Berendschot

2024

Front. Ophthalmol.

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Fundus cameras are widely used by ophthalmologists for monitoring and diagnosing retinal pathologies. Unfortunately, no optical system is perfect, and the visibility of retinal images can be greatly degraded due to the presence of problematic illumination, intraocular scattering, or blurriness caused by sudden movements. To improve image quality, different retinal image restoration/enhancement techniques have been developed, which play an important role in improving the performance of various clinical and computer-assisted applications. This paper gives a comprehensive review of these restoration/enhancement techniques, discusses their underlying mathematical models, and shows how they may be effectively applied in real-life practice to increase the visual quality of retinal images for potential clinical applications including diagnosis and retinal structure recognition. All three main topics of retinal image restoration/enhancement techniques, i.e., illumination correction, dehazing, and deblurring, are addressed. Finally, some considerations about challenges and the future scope of retinal image restoration/enhancement techniques will be discussed.

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Section: Potential Applicationsmentioning

confidence: 99%

Computational single fundus image restoration techniques: a review

Zhang,

Webers,

Berendschot

2024

Front. Ophthalmol.

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“…Ultra-widefield (UWF) retinal images have emerged as a revolutionary modality in ophthalmology [ 1 , 2 ]. As depicted in Figure 1 , UWF provides an extensive field of view that enables the visualization of both central and peripheral retinal areas.…”

Section: Introductionmentioning

confidence: 99%

FQ-UWF: Unpaired Generative Image Enhancement for Fundus Quality Ultra-Widefield Retinal Images

Lee,

Song,

Lee

et al. 2024

Bioengineering

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Ultra-widefield (UWF) retinal imaging stands as a pivotal modality for detecting major eye diseases such as diabetic retinopathy and retinal detachment. However, UWF exhibits a well-documented limitation in terms of low resolution and artifacts in the macular area, thereby constraining its clinical diagnostic accuracy, particularly for macular diseases like age-related macular degeneration. Conventional supervised super-resolution techniques aim to address this limitation by enhancing the resolution of the macular region through the utilization of meticulously paired and aligned fundus image ground truths. However, obtaining such refined paired ground truths is a formidable challenge. To tackle this issue, we propose an unpaired, degradation-aware, super-resolution technique for enhancing UWF retinal images. Our approach leverages recent advancements in deep learning: specifically, by employing generative adversarial networks and attention mechanisms. Notably, our method excels at enhancing and super-resolving UWF images without relying on paired, clean ground truths. Through extensive experimentation and evaluation, we demonstrate that our approach not only produces visually pleasing results but also establishes state-of-the-art performance in enhancing and super-resolving UWF retinal images. We anticipate that our method will contribute to improving the accuracy of clinical assessments and treatments, ultimately leading to better patient outcomes.

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“…On the other hand, fundus imaging that covers a field of retina equal to 100° or more, capturing retinal features anterior to the vortex vein ampulla in all four quadrants, is referred to as ultra-wide field (UWF). [ 3 4 ]…”

Section: Introductionmentioning

confidence: 99%

Peripheral retinal lesions in diabetic retinopathy on ultra-widefield imaging

Ashrafkhorasani,

Habibi,

Nittala

et al. 2024

Saudi Journal of Ophthalmology

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Peripheral retinal imaging plays a crucial role in the diagnosis, management, and prognosis of diabetic retinopathy (DR). Traditional fundus imaging techniques have limited coverage of the retina, resulting in missed peripheral lesions. The advent of ultra-widefield (UWF) imaging has revolutionized the assessment of the peripheral retina. UWF imaging modalities provide comprehensive visualization of the retina, enabling the detection of peripheral lesions without the need for mydriasis. Integration of UWF imaging with other modalities, including fluorescein angiography (FA), indocyanine green angiography, pseudocolor imaging, and fundus autofluorescence, further enhances our understanding of peripheral retinal lesions. UWF imaging has demonstrated improved detection of DR lesions and presumably more accurate management of DR compared to traditional fundus photography and dilated fundus examination. UWF-FA and UWF-optical coherence tomography angiography have emerged as valuable tools for assessing retinal and choroidal vascular abnormalities, nonperfusion areas, neovascularization, and microvascular abnormalities. The presence and increasing extent of predominantly peripheral lesions detected using UWF FA are associated with a higher risk of DR progression and proliferative DR. UWF imaging provides a comprehensive evaluation of DR severity, aiding in more accurate risk stratification and treatment decision-making. Overall, UWF imaging modalities have significantly advanced our understanding of peripheral retinal lesions in DR, facilitating early detection and targeted management for better visual outcomes.

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Ultra-wide-field fundus photography compared to ophthalmoscopy in diagnosing and classifying major retinal diseases

Cited by 6 publications

References 25 publications

Computational single fundus image restoration techniques: a review

Computational single fundus image restoration techniques: a review

FQ-UWF: Unpaired Generative Image Enhancement for Fundus Quality Ultra-Widefield Retinal Images

Peripheral retinal lesions in diabetic retinopathy on ultra-widefield imaging

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