Optical coherence tomography (OCT) is an imaging technique based on interferometry of backscattered lights from materials and biological samples. For the quantitative evaluation of an OCT system, artificial optical samples or phantoms are commonly used. They mimic the structure of biological tissues and can provide a quality standard for comparison within and across devices. Phantoms contain medium matrix and scattering particles within the dimension range of target biological structures such as the retina. The aim was to determine if changes in speckle derived optical texture could be employed to classify the OCT phantoms based on their structural composition. Four groups of phantom types were prepared and imaged. These comprise different concentrations of a medium matrix (gelatin solution), different sized polystyrene beads (PBs), the volume of PBs and different refractive indices of scatterers (PBs and SiO2). Texture analysis was applied to detect subtle optical differences in OCT image intensity, surface coarseness and brightness of regions of interest. A semi-automated classifier based on principal component analysis (PCA) and support vector machine (SVM) was applied to discriminate the various texture models. The classifier detected correctly different phantom textures from 82% to 100%, demonstrating that analysis of the texture of OCT images can be potentially used to discriminate biological structure based on subtle changes in light scattering.
The dichroic macular pigment in the Henle fiber layer in the fovea enables humans to perceive entoptic phenomena when viewing polarized blue light. In the standard case of linearly polarized stimuli, a faint bowtie-like pattern known as the Haidinger's brush appears in the central point of fixation. As the shape and clarity of the perceived signal is directly related to the health of the macula, Haidinger's brush has been used as a diagnostic marker in studies of early stage macular degeneration and central field visual dysfunction. However, due to the weak nature of the perceived signal the perception of the Haidinger's brush has not been integrated with modern clinical methods. Recent attempts have been made to increase the strength of the perceived signal by employing structured light with spatially varying polarization profiles. Here we review the advancements with the structured light stimuli and describe the current challenges and future prospects.
Целью данной статьи является обзор литературы по оптимизации администрирования диагностики, лечения и профилактики пациентов с катарактой. Для подробного и полноценного обзора с разнообразными типами исследований и их методологиями была использована технология эволюционирующих стандартов синтеза реалистических и метанарративных доказательств, или иначе RAMSES. Были проанализированы более 2 000 публикации, из которых 52 манускриптов были добавлены для окончательного анализа в данной работе. Из-за растущей популяцией больных с катарактой в мире, растет и количественный, и качественный состав публикации по оптимизации организации оказания офтальмологической помощи пациентам с помутнением хрусталика. Практическое применение современных и эффективных методов оптимизации способствует усовершенствованию всех этапов медицинской помощи больным с катарактой. Бұл мақаланың мақсаты катаракта бар науқастарды диагностикалауды, емдеуді және алдын-алуды оңтайландыру мәселелері бойынша рецензияланған мәліметтер базасынан әдебиеттерді шолу болып табылады. Зерттеудің бірнеше түрлерімен және олардың әдіснамасымен толығырақ шолу мақсатында RAMSES, немесе нақты және метанаративті дәлелдерді синтездеу технологиясы қолданылды. 2000-нан астам мақалалар талданылып, олардың 52 қолжазбасы осы жұмыста түпкілікті талдау үшін қосылды. Әлемде катаракта бар науқастардың санының өсуіне байланысты линзаның бұлдырауы бар науқастарға офтальмологиялық көмек көрсетуді ұйымдастыруды оңтайландыру туралы жарияланымның сандық және сапалық құрамы өсуде. Оңтайландырудың заманауи және тиімді әдістерін практикалық қолдану катаракта бар науқастарға медициналық көмектің барлық кезеңдерін жетілдіруге көмектеседі. The purpose of this paper is to review the literature from peer-reviewed databases on optimizing the administration of diagnosis, treatment and prevention of patients with cataracts. For a detailed and complete review with a variety of types of studies and their methodologies, the technology of Realist And MEta-narrative Evidence Syntheses: Evolving Standards (RAMSES) was used. More than 2,000 publications were analyzed, of which 52 manuscripts were added for final analysis in this work. Due to the growing population of patients with cataracts in the world, both the quantitative and qualitative composition of the publication on optimizing the organization of the provision of ophthalmic care to patients with lens opacity is growing. The practical application of modern and effective optimization methods contributes to the improvement of all stages of medical care for patients with cataracts.
We investigated texture analysis of optical coherence tomography (OCT) phantom images. Semi-automated classifier, based on principal component analysis (PCA) and support vector machines (SVM), enables classification of phantoms with various content of medium and scatterers.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.