Advances in Eye Imaging

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: closed (30 November 2025) | Viewed by 18104

Special Issue Editor

Special Issue Information

Dear Colleagues,

In recent years, different imaging techniques have been adopted as part of the usual examinations in ophthalmology. Optical coherence tomography is one of them, playing a key role in the diagnosis and follow-up of many ocular diseases. Imaging devices are frequently enhanced, providing higher resolution and quality scans obtained from evaluated tissues. Consequently, the assessment of the structures of the eye has become more accurate over time.

Additionally, the upgrades introduced in the built-in analysis tools make it easy to make decisions in real practice. Most clinical guidelines include the outcomes of these tools in the algorithms for the management of eye disorders affecting the anterior pole, retina, or optic nerve head.

We encourage authors to submit manuscripts related to this topic to increase the current knowledge on the anatomy of the eye, the physiopathology of eye diseases, and clinical studies based on imaging technologies.

Dr. Antonio Ferreras
Guest Editor

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Published Papers (9 papers)

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Research

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14 pages, 10187 KB  
Article
Demodicosis Mite Detection in Eyes with Blepharitis and Meibomian Gland Dysfunction Based on Deep Learning Model
by Elsa Lin-Chin Mai, Ya-Ling Tseng, Hao-Ting Lee, Wen-Hsuan Sun, Han-Hao Tsai and Ting-Ying Chien
Diagnostics 2025, 15(24), 3204; https://doi.org/10.3390/diagnostics15243204 - 15 Dec 2025
Viewed by 1360
Abstract
Background/Objectives: Demodex mites are a common yet underdiagnosed cause of ocular surface diseases, including blepharitis and meibomian gland dysfunction (MGD). Traditional diagnosis via microscopic examination is labor-intensive and time-consuming. This study aimed to develop a deep learning-based system for the automated detection [...] Read more.
Background/Objectives: Demodex mites are a common yet underdiagnosed cause of ocular surface diseases, including blepharitis and meibomian gland dysfunction (MGD). Traditional diagnosis via microscopic examination is labor-intensive and time-consuming. This study aimed to develop a deep learning-based system for the automated detection and quantification of Demodex mites from microscopic eyelash images. Methods: We collected 1610 microscopic images of eyelashes from patients clinically suspected to have ocular demodicosis. After quality screening, 665 images with visible Demodex features were annotated and processed. Two deep learning models, YOLOv11 and RT-DETR, were trained and evaluated using standard metrics. Grad-CAM visualization was applied to confirm model attention and feature localization. Results: Both YOLO and RT-DETR models were able to detect Demodex mites in our microscopic images. The YOLOv11 boxing model revealed an average precision of 0.9441, sensitivity of 0.9478, and F1-score of 0.9459 in our detection system, while the RT-DETR model showed an average precision of 0.7513, sensitivity of 0.9389, and F1-score of 0.8322. Moreover, Grad-CAM visualization confirmed the models’ focus on relevant mite features. Quantitative analysis enabled consistent mite counting across overlapping regions, with a confidence level of 0.4–0.8, confirming stable enumeration performance. Conclusions: The proposed artificial intelligence (AI)-based detection system demonstrates strong potential for assisting ophthalmologists in diagnosing ocular demodicosis efficiently and accurately, reducing reliance on manual microscopy and enabling faster clinical decision making. Full article
(This article belongs to the Special Issue Advances in Eye Imaging)
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19 pages, 1949 KB  
Article
Non-Invasive Dry Eye Disease Detection Using Infrared Thermography Images: A Proof-of-Concept Study
by Laily Azyan Ramlan, Wan Mimi Diyana Wan Zaki, Marizuana Mat Daud and Haliza Abdul Mutalib
Diagnostics 2025, 15(16), 2084; https://doi.org/10.3390/diagnostics15162084 - 20 Aug 2025
Cited by 1 | Viewed by 1791
Abstract
Background/Objectives: Dry Eye Disease (DED) significantly impacts quality of life due to the instability of the tear film and reduced tear production. The limited availability of eye care professionals, combined with traditional diagnostic methods that are invasive, non-portable, and time-consuming, results in delayed [...] Read more.
Background/Objectives: Dry Eye Disease (DED) significantly impacts quality of life due to the instability of the tear film and reduced tear production. The limited availability of eye care professionals, combined with traditional diagnostic methods that are invasive, non-portable, and time-consuming, results in delayed detection and hindered treatment. This proof-of-concept study aims to explore the feasibility of using smartphone-based infrared thermography (IRT) as a non-invasive, portable screening method for DED. Methods: This study included infrared thermography (IRT) images of 40 subjects (22 normal and 58 DED). Ocular surface temperature changes at three regions of interest (ROIs): nasal cornea, center cornea, and temporal cornea, were compared with Tear Film Break-up Time (TBUT) and Ocular Surface Disease Index (OSDI) scores. Statistical correlations and independent t-tests were performed, while machine learning (ML) models classified normal vs. DED eyes. Results: In these preliminary results, DED eyes exhibited a significantly faster cooling rate (p < 0.001). TBUT showed a negative correlation with OSDI (r = −0.802, p < 0.001) and positive correlations with cooling rates in the nasal cornea (r = 0.717, p < 0.001), center cornea (r = 0.764, p < 0.001), and temporal cornea (r = 0.669, p < 0.001) regions. Independent t-tests confirmed significant differences between normal and DED eyes across all parameters (p < 0.001). The Quadratic Support Vector Machine (SVM) achieved the highest accuracy among SVM models (90.54%), while the k-Nearest Neighbours (k-NN) model using Euclidean distance (k = 3) outperformed overall with 91.89% accuracy, demonstrating strong potential for DED classification. Conclusions: This study provides initial evidence supporting the use of smartphone-based infrared thermography (IRT) as a screening tool for DED. The promising classification performance highlights the potential of this approach, though further validation on larger and more diverse datasets is necessary to advance toward clinical application. Full article
(This article belongs to the Special Issue Advances in Eye Imaging)
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11 pages, 857 KB  
Article
Investigation of Ocular Blood Flow in Males with Metabolic Syndrome
by Takahiro Maruyama, Tomoaki Shiba, Tatsuhiko Kobayashi, Seiji Takagi and Yuichi Hori
Diagnostics 2025, 15(16), 2021; https://doi.org/10.3390/diagnostics15162021 - 12 Aug 2025
Viewed by 725
Abstract
Objectives: This study aims to investigate ocular blood flow in male subjects with metabolic syndrome (MetS) using laser speckle flowgraphy (LSFG). Methods: Subjects who underwent LSFG ocular blood flow testing during physical examinations were separated into a MetS group and a control group. [...] Read more.
Objectives: This study aims to investigate ocular blood flow in male subjects with metabolic syndrome (MetS) using laser speckle flowgraphy (LSFG). Methods: Subjects who underwent LSFG ocular blood flow testing during physical examinations were separated into a MetS group and a control group. The groups were propensity score-matched by age, with 138 male subjects compared in each group. The subjects’ ocular blood flow (mean blur rate, MBR) in the optic nerve head (ONH) and choroid was measured via LSFG. Pulse waveform parameters, the blowout score (BOS), blowout time (BOT), and rising rate (RR), were also measured. The ONH region was measured as a whole and as tissue and vascular regions. Results: The MBR-Choroid was significantly lower in the MetS group versus the control group. There was no significant difference in the MBR in the ONH. Compared to the control group, the RR values in the MetS group were significantly lower in all regions. The whole tissue region and vascular region BOS values were significantly higher in the MetS group. A single-regression analysis revealed that among the evaluated parameters, only the number of MetS components was significantly negatively correlated with the MBR-Choroid. A multiple regression analysis identified HbA1c as a factor contributing independently to the MBR-Choroid among the MetS-related factors. Conclusions: This investigation of adult males clarified that in the early stage of MetS, the MBR in the choroid area decreases in parallel with the accumulation of MetS components. The MetS component with the strongest influence on the MBR-Choroid was HbA1c. Full article
(This article belongs to the Special Issue Advances in Eye Imaging)
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12 pages, 1074 KB  
Article
Structural Retinal and Optic Nerve Changes in Prostate Cancer Patients Receiving Androgen Receptor Pathway Inhibitors: An OCT-Based In Vivo Analysis
by Yasemin Bakkal Temi, Büşra Yılmaz Tuğan, İlkay Çıtakkul, Ece Baydar, Gözde Karaca, Sibel Balcı, Devrim Çabuk, Umut Kefeli, Nurşen Yüksel and Kazım Uygun
Diagnostics 2025, 15(13), 1682; https://doi.org/10.3390/diagnostics15131682 - 1 Jul 2025
Cited by 1 | Viewed by 1149
Abstract
Objective: To conduct a comparative analysis of layer-by-layer macular thickness, peripapillary retinal nerve fiber layer (pRNFL), and minimum rim width (MRW) between the eyes of patients with prostate cancer undergoing treatment with androgen receptor pathway inhibitors (ARPIs) and those of age- and sex-matched [...] Read more.
Objective: To conduct a comparative analysis of layer-by-layer macular thickness, peripapillary retinal nerve fiber layer (pRNFL), and minimum rim width (MRW) between the eyes of patients with prostate cancer undergoing treatment with androgen receptor pathway inhibitors (ARPIs) and those of age- and sex-matched healthy controls, with the aim of assessing the potential effects of ARPIs on retinal structure. Methods: In this prospective cross-sectional study, 80 eyes of 80 patients with ARPI-treated metastatic prostate cancer and 80 eyes of 80 age-matched healthy controls were evaluated using Heidelberg Spectralis optical coherence tomography (OCT). Layer-by-layer macular thickness, pRNFL, and MRW were measured and compared between groups. Results: Thickness in most segments of retinal layers and pRNFL, as well as all MRW values, were significantly lower in the ARPI-treated group than in the controls (p < 0.05). No significant differences were observed between groups in terms of age, visual acuity, intraocular pressure, central corneal thickness, or lens status. Conclusions: This study is the first to evaluate layer-by-layer macular thickness in patients with metastatic prostate cancer treated with ARPIs, revealing significant thinning in nearly all macular layers, pRNFL, and MRW. These findings suggest that ARPI therapy may induce neurodegenerative changes in retinal and optic nerve structures. Therefore, further research is warranted to assess the ocular safety of these therapeutic agents. Full article
(This article belongs to the Special Issue Advances in Eye Imaging)
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15 pages, 951 KB  
Article
Utilizing Shear Wave Elastography for the Evaluation of Ocular Involvement in Systemic Sclerosis
by Mehmet Kök, Ayşe Ayan, Mehmet Emin Arayici and Sinan Ülgen
Diagnostics 2025, 15(10), 1227; https://doi.org/10.3390/diagnostics15101227 - 13 May 2025
Cited by 1 | Viewed by 1344
Abstract
Background: Several imaging studies have confirmed ocular involvement in systemic sclerosis (SSc). However, elastography has not yet been used for this purpose in the literature. Thus, this study aimed to evaluate ocular involvement in SSc using shear wave elastography (SWE). Methods: This study [...] Read more.
Background: Several imaging studies have confirmed ocular involvement in systemic sclerosis (SSc). However, elastography has not yet been used for this purpose in the literature. Thus, this study aimed to evaluate ocular involvement in SSc using shear wave elastography (SWE). Methods: This study included 29 SSc patients and 30 age- and sex-matched healthy controls. All participants underwent independent ophthalmological evaluations by two ophthalmologists. Subsequently, SWE was used to evaluate the retina–choroid–sclera (RCS), optic disc (OD), optic nerve (ON), and retrobulbar adipose tissue (RBFT) of the right eye. The median shear wave elasticity (kPa) and velocity (m/s) values were automatically calculated using the ultrasound device’s integrated software. Results: The elasticity and velocity values of RBFT in SSc patients were significantly higher than those in the control group. However, no notable differences were observed in other analyzed areas. A strong association was found between digital ulcers and velocity values of the RCS, while no significant differences were noted for other parameters. Conclusions: This study revealed increased stiffness in the RBFT of SSc patients. To our knowledge, this is the first evidence suggesting that SSc can affect RBFT. Further studies are required to confirm this finding and investigate its link to the disease. Additionally, we found a strong association between digital ulcers and increased RCS stiffness. Using SWE for the first time, we have demonstrated that microcirculatory disruption in SSc extends beyond the skin and can affect multiple tissues simultaneously. Full article
(This article belongs to the Special Issue Advances in Eye Imaging)
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Review

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21 pages, 1664 KB  
Review
Clinical Applications of Optical Coherence Tomography and Optical Coherence Tomography Angiography in Uveal Melanoma: A Narrative Review
by Mario Troisi, Livio Vitiello, Filippo Lixi, Mihaela Madalina Timofte Zorila, Giulia Abbinante, Alfonso Pellegrino, Assem Namazbayeva, Ginevra Giovanna Adamo, Giulia Coco, Alberto Cuccu and Giuseppe Giannaccare
Diagnostics 2025, 15(19), 2421; https://doi.org/10.3390/diagnostics15192421 - 23 Sep 2025
Cited by 2 | Viewed by 1932
Abstract
Uveal melanoma is the most common primary intraocular malignancy in adults, most frequently arising from the choroid, followed by the ciliary body and iris. Its diagnosis and management require precise characterization of tumor morphology, localization, and associated complications to optimize visual and systemic [...] Read more.
Uveal melanoma is the most common primary intraocular malignancy in adults, most frequently arising from the choroid, followed by the ciliary body and iris. Its diagnosis and management require precise characterization of tumor morphology, localization, and associated complications to optimize visual and systemic outcomes. Recent advances in optical coherence tomography (OCT), anterior segment OCT (AS-OCT), and OCT angiography (OCTA) have expanded the ophthalmologist’s ability to non-invasively visualize structural and vascular changes associated with this disease. In fact, enhanced depth imaging (EDI) and swept-source (SS) OCT can provide detailed views of deep ocular structures, enabling early detection of hallmark features such as subretinal fluid, retinal pigment epithelium disruption, and dome- or mushroom-shaped choroidal elevations; AS-OCT improves evaluation of lesions of the anterior segment, revealing iris architecture distortion and angle involvement; OCTA facilitates the visualization of abnormal tumor vasculature and detection of radiation-induced microvascular changes, including capillary dropout and foveal avascular zone enlargement. Moreover, these imaging modalities have demonstrated utility in differentiating uveal melanoma from pseudomelanomas, such as choroidal nevi, hemangiomas, and metastases. The present review aims at objectively assessing the use of OCT and OCTA in the diagnosis, treatment, and follow up of ocular melanoma, emphasizing their crucial role in identifying pathologic biomarkers of this potentially fatal ocular disease. Full article
(This article belongs to the Special Issue Advances in Eye Imaging)
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20 pages, 325 KB  
Review
The Perspective of Using Optical Coherence Tomography in Ophthalmology: Present and Future Applications
by Mario A. Vasilescu and Mioara L. Macovei
Diagnostics 2025, 15(4), 402; https://doi.org/10.3390/diagnostics15040402 - 7 Feb 2025
Cited by 7 | Viewed by 4150
Abstract
Optical coherence tomography (OCT) imaging plays a major role in the field of diagnosing, monitoring, and treating ophthalmological diseases. Since its introduction in the early 1990s, OCT technology has continued to advance both in the direction of acquisition quality and technique. In this [...] Read more.
Optical coherence tomography (OCT) imaging plays a major role in the field of diagnosing, monitoring, and treating ophthalmological diseases. Since its introduction in the early 1990s, OCT technology has continued to advance both in the direction of acquisition quality and technique. In this manuscript, we concentrate on actual and future applications of OCT in the ophthalmology field, reviewing multiple types of OCT techniques and systems, such as visible-light OCT, adaptative optics OCT, intraoperative OCT, wide-field OCT, and more. All of them allow better monitoring of ocular diseases, earlier and broader diagnosis, and a more suitable treatment. Furthermore, overviewing all these technologies could play a pivotal role in research, leading to an advance in understanding the pathophysiology of targeted diseases. Finally, the aim of the present review was to evaluate the technical advances in OCT and their actual and potential clinical applications. Full article
(This article belongs to the Special Issue Advances in Eye Imaging)
13 pages, 1453 KB  
Review
The Value of MRI and Radiomics for the Diagnostic Evaluation of Thyroid-Associated Ophthalmopathy
by Weiyi Zhou, Yan Song, Jufeng Shi and Tuo Li
Diagnostics 2025, 15(3), 388; https://doi.org/10.3390/diagnostics15030388 - 6 Feb 2025
Cited by 5 | Viewed by 3288
Abstract
Thyroid-associated ophthalmopathy (TAO) is a vision-threatening autoimmune disease that involves the extraocular muscles (EOMs) and periorbital fat. Typical signs of TAO include eyelid recession, proptosis, diplopia, and decreased visual acuity. As a self-limited disease, there is major bipolarity in clinical outcomes in TAO [...] Read more.
Thyroid-associated ophthalmopathy (TAO) is a vision-threatening autoimmune disease that involves the extraocular muscles (EOMs) and periorbital fat. Typical signs of TAO include eyelid recession, proptosis, diplopia, and decreased visual acuity. As a self-limited disease, there is major bipolarity in clinical outcomes in TAO population. The early diagnosis and prediction of these refractory and relapsed patients is essential. Unfortunately, commonly used tools such as CAS/NOSPECTS, are based on clinical symptoms and signs alone, have significant limitations. Some imaging techniques or examinations, such as magnetic resonance imaging (MRI), can be very effective in assisting TAO assessment, from exhaustive whiteboard notes to optimized patient outcomes. Being one of the most commonly used and accurate objective examinations for TAO assessment, MRI boosts no ionizing radiation, high soft tissue contrast, better reflection of tissue water content, and the ability to quantify multiple parameters. In addition, novel MR sequences are becoming increasingly more familiar in TAO and other areas of clinical and scientific research. Moreover, radiomics, a method involving the extraction of a large number of features from medical images through algorithms, is a more recent approach used in the analysis and characterization of TAO data. Thus, this review aims to summarize and compare the value of routine and novel functional MRI sequences and radiomics prediction models in the diagnosis and evaluation of TAO. Full article
(This article belongs to the Special Issue Advances in Eye Imaging)
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Other

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17 pages, 16138 KB  
Case Report
Vogt–Koyanagi–Harada (VKH)—What Do We Know About the Disease, and Can We Recognize It?
by Maria Boyadzhieva, Preslava Encheva, Dobrin Boyadzhiev, Valeri Sheherov, Darina Koseva and Zornitsa Zlatarova
Diagnostics 2026, 16(1), 141; https://doi.org/10.3390/diagnostics16010141 - 1 Jan 2026
Viewed by 1259
Abstract
Background: Vogt–Koyanagi–Harada (VKH) is a multisystem autoimmune disease that ophthalmologists often encounter first. The condition is caused by an immune response against tyrosinase-related proteins in pigment cells (melanocytes) of the uvea, inner ear, meninges, and skin, and the process may be triggered [...] Read more.
Background: Vogt–Koyanagi–Harada (VKH) is a multisystem autoimmune disease that ophthalmologists often encounter first. The condition is caused by an immune response against tyrosinase-related proteins in pigment cells (melanocytes) of the uvea, inner ear, meninges, and skin, and the process may be triggered by genetic and environmental factors. Although much is known about the disease, establishing an accurate and timely diagnosis still requires a multidisciplinary team and strong clinical expertise. Treatment demands early and aggressive anti-inflammatory therapy with corticosteroids, often prolonged and combined with immunosuppressive or biological agents. Aim: The present article aims to present three unique cases of patients with VKH syndrome, diagnosed and monitored by Ophthalmologists using standard imaging techniques over the course of five years, to demonstrate the unusual manifestations of the already rare syndrome and to improve the general knowledge of the disease among Ophthalmology specialists. Methods: Three different patients with various subjective symptoms and unique clinical signs went through observation in University Specialized Eye Hospital for Active Treatment—Varna. Results: The three clinical cases presented diagnostic challenges, the key role of imaging studies and the importance of thorough medical history taking. Conclusions: The prognosis in VKH is variable—timely diagnosis and treatment are essential to reduce the risk of recurrence and chronic progression of the disease. Full article
(This article belongs to the Special Issue Advances in Eye Imaging)
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