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1.
Opt Lett ; 43(17): 4224-4227, 2018 Sep 01.
Artigo em Inglês | MEDLINE | ID: mdl-30160757

RESUMO

Aberration-corrected imaging of human photoreceptor cells, whether hardware or software based, presently requires a complex and expensive setup. Here we use a simple and inexpensive off-axis full-field time-domain optical coherence tomography (OCT) approach to acquire volumetric data of an in vivo human retina. Full volumetric data are recorded in 1.3 s. After computationally correcting for aberrations, single photoreceptor cells were visualized. In addition, the numerical correction of ametropia is demonstrated. Our implementation of full-field optical coherence tomography combines a low technical complexity with the possibility for computational image correction.


Assuntos
Processamento de Imagem Assistida por Computador , Retina/diagnóstico por imagem , Tomografia de Coerência Óptica/métodos , Algoritmos , Custos e Análise de Custo , Humanos , Fatores de Tempo , Tomografia de Coerência Óptica/economia
2.
Opt Lett ; 41(21): 4987-4990, 2016 Nov 01.
Artigo em Inglês | MEDLINE | ID: mdl-27805666

RESUMO

With a simple setup, mainly composed of a low coherence light source and a camera, full-field optical coherence tomography (FF-OCT) allows volumetric tissue imaging. However, fringe washout constrains its use in retinal imaging. Here, we present a novel motion-insensitive approach to FF-OCT, which introduces path-length differences between the reference and the sample light in neighboring pixels using an off-axis reference beam. The temporal carrier frequency in scanned time-domain OCT is replaced by a spatial carrier frequency. Volumetric in-vivo FF-OCT measurements of the human retina were acquired in only 1.3 s, comparable to the acquisition times of current clinically used OCT devices.


Assuntos
Retina/diagnóstico por imagem , Tomografia de Coerência Óptica/métodos , Humanos
3.
BMJ Open ; 12(6): e055082, 2022 06 27.
Artigo em Inglês | MEDLINE | ID: mdl-35760534

RESUMO

OBJECTIVES: Self-Examination Low-Cost Full-Field Optical Coherence Tomography (SELFF-OCT) is a novel OCT technology that was specifically designed for home monitoring of neovascular age-related macular degeneration (AMD). First clinical findings have been reported before. This trial investigates an improved prototype for patients with AMD and focusses on device operability and diagnostic accuracy compared with established spectral-domain OCT (SD-OCT). DESIGN: Prospective single-arm diagnostic accuracy study. SETTING: Tertiary care centre (University Eye Clinic). PARTICIPANTS: 46 patients with age-related macular degeneration. INTERVENTIONS: Patients received short training in device handling and then performed multiple self-scans with the SELFF-OCT according to a predefined protocol. Additionally, all eyes were examined with standard SD-OCT, performed by medical personnel. All images were graded by at least 2 masked investigators in a reading centre. PRIMARY OUTCOME MEASURE: Rate of successful self-measurements. SECONDARY OUTCOME MEASURES: Sensitivity and specificity of SELFF-OCT versus SD-OCT for different biomarkers and necessity for antivascular endothelial growth factor (anti-VEGF) treatment. RESULTS: In 86% of all examined eyes, OCT self-acquisition resulted in interpretable retinal OCT volume scans. In these patients, the sensitivity for detection of anti-VEGF treatment necessity was 0.94 (95% CI 0.79 to 0.99) and specificity 0.95 (95% CI 0.82 to 0.99). CONCLUSIONS: SELFF-OCT was used successfully for retinal self-examination in most patients, and it could become a valuable tool for retinal home monitoring in the future. Improvements are in progress to reduce device size and to improve handling, image quality and success rates. TRIAL REGISTRATION NUMBER: DRKS00013755, CIV-17-12-022384.


Assuntos
Degeneração Macular , Tomografia de Coerência Óptica , Estudos Transversais , Humanos , Degeneração Macular/diagnóstico por imagem , Degeneração Macular/tratamento farmacológico , Estudos Prospectivos , Autoexame , Tomografia de Coerência Óptica/métodos
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