342 results about "Macula Lutea" patented technology

The subject invention pertains to deep learning (DL) systems and methods for the binary classification of Alzheimer's Disease. Optical coherence tomography (OCT) generated reports were used, and the images were grouped into 3 different inputs: (1) an optic nerve head (ONH) model including a retinal nerve fiber layer (RNFL) thickness map, a RNFL deviation map, and an ONH-centered en face image; (2) a Macula model including a ganglion cell inner plexiform layer (GCIPL) thickness map, a GCIPL deviation map, a macular thickness map, and a macula-centered en face image; and (3) a General model including all images of (1) and (2). A fusion network is provided to analyze the plurality of images from a single eye for classification. The fusion network includes Feature Extraction, Feature Fusion, and Feature Reconstruction. Ensemble learning is provided to advantageously combine several baseline models to build a single but more powerful model.

The microstructure lens comprises a substrate, the substrate is provided with a bright vision area, a first optical area and a second optical area, and the first optical area and the second optical area are arranged around the bright vision area; the first optical area is located between the bright visual area and the second optical area and connected with the bright visual area and the second optical area. The bright vision area is used for generating a clear vision signal; the first microstructure array is arranged in the first optical area and is used for being matched with the substrate to provide a visual signal for stimulating the periphery of the retina; and the second microstructure array is arranged in the second optical area and is used for being matched with the substrate to provide at least two different visual signals for stimulating the periphery of the retina. The first optical area provides single-effect stimulation to compensate relative peripheral diopter close to the center of the retina macular, and lens wearing adaptability of a patient is considered; the second optical zone provides multiple-effect stimulation to compensate for gradually increasing relative peripheral diopter around the retina and delay the time of drug resistance generation of the product, thereby enhancing myopia management efficacy and prolonging efficacy time.

According to the ultra-wide-angle fundus image analysis method and system, an ultra-wide-angle fundus image is divided into a macular region, a posterior pole region and a peripheral region, the focus of each region is automatically recognized, and then auxiliary diagnosis of various fundus diseases of the whole image is achieved. According to the method and the system, efficient, accurate and automatic fundus disease analysis and evaluation are realized through region partitioning and focus analysis of the ultra-wide-angle fundus image, particularly, the method and the system have remarkable advantages in retina peripheral region lesion detection, and the system can be applied to screening and auxiliary diagnosis of clinical ophthalmic diseases on the basis of a deep learning algorithm model. Along with the rapid development of deep learning, a convolutional neural network (CNN) obtains a significant result in the field of image classification, and the method carries out the partitioning of an ultra-wide-angle fundus image based on a deep learning model, and carries out the analysis and evaluation of common fundus diseases and lesions of the whole image, and optic nerve diseases including the lesions of glaucoma. The invention provides an automatic and accurate fundus image auxiliary diagnosis method.

According to the maculopathy diagnosis device and method based on GCN and Mama cooperation and the medium, feature interaction processing is carried out by designing a GMMN module (a graph mapping Mama network), each pixel is regarded as a feature node, and through combination of graph convolution and Mama coding, the advantages of the two methods are brought into full play, and the respective limitations of the two methods are overcome at the same time. Furthermore, a mapping module is developed, and effective cross-branch feature fusion is realized by using a geometrical relationship between feature nodes. A large number of experimental results prove that the network has excellent performance when the CFP modal image is used for automatic diagnosis of macular edema, and the effectiveness and clinical application potential of the method are verified. According to experimental verification on two public data sets of IDRID and Messidor and one private data set, 91.26%, 94.58% and 98.43% of diagnosis accuracy are achieved respectively, it is indicated that the method can achieve a good diagnosis effect on different data sets, and the huge potential of the method in clinical application is highlighted.

A method and system for detecting nascent geographic atrophy. An optical coherence tomography (OCT) volume image of a retina of a subject is received. Using a deep learning model, an output is generated using the OCT volume image in which the output indicates whether nascent geographic atrophy is detected. A map output is generated for the deep learning model using a saliency mapping algorithm, wherein the map output indicates a level of contribution of a set of regions in the OCT volume image to the output generated by the deep learning model.

According to the macular oedema diagnosis system, method and device based on color fundus photography, the medium and the program product, the bright part enhancement and dark part enhancement of the CFP image are combined, the problem that diagnosis is difficult due to the fact that macular oedema features are not obvious in traditional CFP image diagnosis is solved, and the diagnosis accuracy and efficiency are greatly improved. Experimental results show that the accuracy rate of the method can reach 95% or above on a private data set, and the accuracy rate of multi-stage diagnosis of macular edema on a public macular degeneration and macular edema combined data set IDRID can reach 85%. Besides, a Mama layer in an SSM (Spatial-Sense-Modulation) framework is adopted to perform global feature modeling, so that the capability of capturing the global relationship of the image is further improved, the bottleneck problem encountered in actual clinical application due to the fact that a Transform model depends on computing resources is reduced, the requirement for high-performance computing equipment is reduced, and the method has the advantages of being high in practicability and easy to popularize. And possibility is provided for application in areas with limited resources.

The invention provides a two-stage current intensity adjusting method for an eye therapeutic apparatus, and the method comprises the steps: extracting the impedance effect intensity of a current at a macular center through recognizing the thickness of an impedance barrier layer corresponding to the current limiting degree of a high-impedance region, and combining with the actual penetration thickness, and obtaining the current penetration depth reduction proportion of the current penetration depth at the macular center; the current intensity imbalance degree of the coarse adjustment basic current intensity in the transition subarea is evaluated, and by obtaining the current intensity increase and decrease multiple of the fine adjustment compensation current intensity, the gradient difference between high impedance limitation and low impedance permeation is integrated, and the current intensity is compensated to balance the current intensity imbalance degree of the transition subarea; and updating the current output power level of each partition according to the fine adjustment compensation current intensity, and feeding back the current output power level to a therapeutic instrument circuit in real time to obtain uniform therapeutic intensity distribution so as to be matched with the decreasing proportion of impedance of impedance gradient distribution from high to low.

Diabetes is a disease characterized by high levels of blood glucose. It is important to keep diabetes under control to avoid short- and long-term complications. Diabetes can affect vision due to the alterations it produces in the blood vessels of the retina. This is known as Diabetic Retinopathy (DR), which is one of the leading causes of impaired vision in developed countries. One of the complications of diabetic retinopathy is Diabetic Macular Edema (DME), which is the leading cause of vision loss in diabetic patients and can appear at any stage of diabetic retinopathy. This consists of the gradual accumulation of fluid in the macula, the most important area of the retina. The determination of diabetic macular oedema is very important for the retina. The determination of diabetic macular oedema is very important for adequate treatment of this condition. A variety of technological options are used for detecting diabetic retinopathy, although only the most sophisticated detect macular oedema, a complication that appears as a consequence of diabetic retinopathy and is one of the leading causes of blindness. The invention describes a portable system for detecting diabetic macular oedema by capturing a fundus image using a portable ophthalmoscope; said image is sent via wired or wireless means to an embedded system that has an algorithm based on artificial intelligence, which extracts information from the image and processes same to identify the presence of the condition being studied.

The utility model discloses an out-of-focus and dot matrix composite lens for myopia control, which comprises a lens main body, a correction area, a central optical correction area, a central out-of-focus prevention and control area and a peripheral out-of-focus prevention and control area are arranged in the lens main body, and dot matrix areas are arranged in gaps of the central out-of-focus prevention and control area and the peripheral out-of-focus prevention and control area. And an out-of-focus transition area is arranged between the central optical correction area and the central out-of-focus prevention and control area. Compared with the prior art, the utility model has the advantages that the diameter of the optical correction area is reduced to 8mm, so that the defocus imaging effect is closer to the central area beside the retina macular fovea center, the prevention and control effect is enhanced, the transition area is added in the optical correction area, the initial wearing comfort is improved, the correction area and the transition area are converted more naturally, and the defocus ratio is close to 1: 1; the fusion mechanism of the visual center of the brain is fully utilized, the defocusing effect is ensured, and the definition and the contrast sensitivity required by daily life and learning are also ensured.

The invention belongs to the technical field of nano-drugs, and discloses a multifunctional nano-drug delivery system for treating neovascular eye diseases and a preparation method of the multifunctional nano-drug delivery system. The nano drug delivery system disclosed by the invention is a composite nano preparation which takes dendritic mesoporous silica nanoparticles as a carrier and co-loads cerium zirconium oxide nano enzyme and an anti-VEGF (vascular endothelial growth factor) drug, various active oxygen can be efficiently removed, oxygen is continuously released through catalytic decomposition of hydrogen peroxide, a retina hypoxia microenvironment is improved, and the retina hypoxia effect is improved. According to the present invention, the anti-VEGF drug delivery system can reduce the oxidative stress induced retinal pigment epithelial cell apoptosis rate, reduce the inflammatory reaction, and simultaneously achieve the slow release and the controlled release of the anti-VEGF drug, and the drug effect maintenance time can achieve more than 60 days, such that the multi-target synergistic treatment can be achieved through the synergistic regulation of the multiple pathological links such as oxygen deficit-oxidative stress-inflammation-angiogenesis, and the anti-VEGF drug delivery effect can be achieved. The choroidal neovascularization can be effectively inhibited by single intravitreal injection, and a new strategy of multi-target collaborative treatment is provided for neovascular macular degeneration and other eye diseases.

The invention relates to a diabetic retinopathy fundus photography grading report system combined with a clinical guide, based on an artificial intelligence deep learning technology, and belongs to the field of fundus lesion analysis. The system accurately identifies and segments various lesions such as microhemangioma, bleeding, exudation and the like and symbolic structures such as optic discs, macular regions and the like by automatically analyzing fundus photographic images. The system adopts ICDR international standards to grade diabetic retinopathy, and provides diagnosis and treatment suggestions for lesion characteristics in combination with clinical guidelines of American ophthalmology institute in 2019. Through big data training, the system can generate detailed reports in real time, the early screening rate is remarkably improved, misdiagnosis and missed diagnosis are reduced, and the diagnosis speed and accuracy are improved. The system comprises a plurality of modules, such as an image pre-classification module, a deep learning focus recognition module, an ICDR grading module and a report generation module, efficient and accurate diabetic retinopathy diagnosis and grading are cooperatively achieved, and the clinical management level is improved.

Systems and methods relate to processing optical tomography coherence (OCT) images to predict characteristics of a treatment to be administered to effectively treat age-related macular degeneration. The processing can include pre-processing the image by flattening and / or cropping the image and processing the pre-processed image using a neural network. The neural network can include a deep convolutional neural network. An output of the neural network can indicate a predicted frequency and / or interval at which a treatment (e.g., anti-vascular endothelial growth factor therapy) is to be administered so as to prevent leakage of vasculature in the eye.

The utility model discloses a microstructure spectacle lens and a pair of glasses, and belongs to the technical field of eye vision optics. The lens comprises a mother lens and a plurality of prism units arranged on the mother lens; the mother mirror has a geometric center, and the plurality of prism units are arranged around the geometric center; the mother mirror has a thickness direction and a radial direction perpendicular to the thickness direction; each prism unit comprises a binding surface connected with the mother lens and at least one refracting surface protruding out of the mother lens in the thickness direction; the refracting surface and the binding surface are connected with each other; the refracting surface is inclined to the thickness direction; the maximum size of the binding face in the radial direction is n mm, the maximum size of the refraction face and the binding face in the thickness direction is m mm, and n / m is larger than or equal to 10 and smaller than or equal to 3000. The prism unit is arranged to deflect the light when the incident light passes through the refracting surface of the prism unit, so that the focus is deviated from the macular center of the retina, the imaging quality is influenced, and the effect of inhibiting further occurrence and development of ametropia is achieved.

A method and apparatus for generating a visual field pattern which serves as a subjective test protocol to evaluate central vision using dynamic image generation to prevent the brain from filling-in to provide better results of patient feedback and reporting of locations of visual disturbance. This enables effective central vision testing to detect the presence of visual field disruptions including scotoma, visual-neurological perceptual effects such as filling-in, and Troxler fading. The present method and apparatus can be used for vision monitoring and self-assessment, and more particularly for monitoring vision for damage or disease to the macula or retina.

The invention provides a diabetic retinopathy total fundus dynamic labeling system, and relates to the technical field of medical image processing. The system comprises a data acquisition module, an image labeling module, a multi-mode integration display module and a user interaction module. According to the system, the diabetic retinopathy marking model is utilized to realize lesion area identification and lesion type marking on various types of fundus image data, so that a doctor can clearly and quickly know the progress of an illness state without artificial experience; the full fundus image data marked with the lesion area and the lesion type, the image data of the posterior pole and the macular area and the retinal blood vessel image data are fused, the lesion area and the lesion type of any area of the full fundus of the user to be detected can be displayed on a display interface, a visual blind area is eliminated, and the detection accuracy is improved. The user can view any interested area of the whole fundus, so that comprehensive analysis of the diabetic retinopathy is realized, and the diagnosis and treatment efficiency of the diabetic retinopathy is comprehensively improved.

A classification method and a classification device for classifying a level of an age-related macular degeneration are provided. The classification method includes the following. An object detection model and a first classification model are pre-stored. A fundus image is obtained. A bounding box is generated in the fundus image according to a macula in the fundus image detected by the object detection model. An intersection over union between a predetermined area and the bounding box in the fundus image is calculated. A classification of the fundus image is generated according to the first classification model in response to the intersection over union being greater than a threshold.

Embodiments disclosed herein can provide ocular photo-bio- stimulation through light stimulation of specific wavelengths to the eye's retina, and to the entire eye's retina, the retina peripheral to the fovea, and / or the retina peripheral to the macula. In certain embodiments, the light stimulation is targeted at or to the rods. In other embodiments, the light stimulation is targeted at or to the ganglion cells or it is targeted at or to the rods and the ganglion cells, wherein the ganglion cells targeted or stimulated are the melanopsin containing ganglion cells (ipRGCs) or can also be called mRGCs.

According to the spectacle lens design method and the spectacle lens provided by the invention, the surface type basic parameters of the spectacle lens are determined by acquiring the spectacle fitting basic parameters and the eyeball morphological characteristic parameters of a spectacle fitting person, and then the contrast ratio of rod cells is reduced by designing a radial inhibition function, so that the visual burden of the peripheral area of macular is relieved; the surface of the spectacle lens is precisely processed through a laser direct writing technology, a complex microstructure is realized, the precise implementation of a designed radial inhibition function is ensured, and the spectacle lens is further coated through a multi-layer coating technology, so that the transmission ratio of short-wavelength light is increased; the S-cone cells are activated, and the cone cell contrast ratio is reduced, so that the eye axis growth is better regulated and controlled, and the myopia progress is slowed down.

A system and method are provided for bimodal detection and / or imaging of macular pigments. Fundus autofluorescence spectroscopy is applied in a first and a second region of an eye to measure fluorescence values from the fluorescing pigment (e.g., lipofuscin). The first region can be a macula, which has a higher density of macular pigments, and the second region can be in the peripheral retina, which has a lower density of macular pigments. Fundus reflection spectroscopy is applied in the first and a second region of an eye, as a baseline image, to determine absorptions due to other pigments (e.g., melanin) than the macular pigments and the fluorescing pigment. The density of macular pigments is determined using the measures fluorescence values and the absorptions due to other pigments.

The invention relates to a diabetic macular edema treatment effect prediction system, method and equipment, and belongs to the technical field of biomedicine. Comprising the steps of obtaining and preprocessing clinical data of a patient before treatment to obtain effective data; performing feature screening on the data to obtain feature data; constructing a prediction model, and training the prediction model by using the feature data to obtain an optimal vision recovery prediction model and an optimal edema regression prediction model; according to the two types of prediction models, a combined prediction model is constructed by adopting logic weighted fusion; inputting clinical data of a patient to be treated into the two types of prediction models to obtain a prediction result; and according to a prediction result, carrying out interpretability analysis on the optimal prediction model and the combined prediction model to obtain key characteristic variables, and further obtaining the probability of vision recovery and edema regression of the to-be-treated patient after treatment. According to the method, comprehensive and multi-dimensional sources of prediction variables are ensured, and the limitation of only depending on image data or subjective evaluation is effectively overcome, so that the prediction precision is improved.

This disclosure provides the first description of hESC-derived cells transplanted into human patients. Results are reported for one patient with each of Stargardt's Macular Dystrophy (SMD) and Dry Age-Related Macular Degeneration (AMD). Controlled hESC differentiation resulted in near-100% pure RPE populations. Immediately after surgery, hyperpigmentation was visible at the transplant site in both patients, with subsequent evidence the cells had attached and integrated into the native RPE layer. No signs of inflammation or hyperproliferation were observed. The hESC-derived RPE cells have shown no signs of rejection or tumorigenicity at the time of this report. Visual measurements suggest improvement in both patients.

The utility model discloses a lens for controlling diopter and relieving cervical vertebra strain based on the eye muscle balance theory, the surface of the lens is composed of a far vision area, a middle vision area and a near vision area which are variable in proportion, and a lens base is a prism with a variable base angle. According to the scheme, by means of the well-designed partitioning function and the position angle of the partitioning lens, far, middle and short-distance images can fall on the retina macular fovea center, fatigue, tension and spasm of eye muscles are effectively avoided, eye muscle coordination is improved, excessive adjustment, convergence and excessive sclera pulling through long-time short-distance eye using are avoided, and therefore the effect of improving the eye quality is achieved. The head of a student can be raised to a higher position when the student looks far, the eyeballs are turned upwards and outwards, hurt to the cervical vertebra of the student when the student lowers the head for a long time is further improved, neck soreness and stiffness and tension of muscles of the cervical vertebra and the shoulder are avoided, and the probability of humpback is reduced.

An ophthalmic lens, such as an intraocular lens or a contact lens comprising an obscuration positioned centrally on the light transmissive body of said ophthalmic lens, coaxial with the optical axis, which has a diameter that is not greater than 50 percent of the diameter of the lens body is proposed. Use and methods producing therefor are also proposed according to the present disclosure. The lens, its use and method for producing said lens are targeted for people with age-related macular degeneration and geared towards regaining usable vision without excessively invasive procedures, and with a demonstrably higher rate of effectiveness and success.

A method and system for generating a treatment output for a subject with DME includes receiving OCT imaging data for a retina of a subject at a first and a second point in time. Using the OCT imaging data for the first and second point in time, a first and a second OCT segmented image may be generated using a machine learning model. Based on the first and second segmented OCT images, a first and a second measurement of a DME-associated feature may be generated for the first and second point in time. A reduction between the first and second measurements may be identified and compared to a threshold. A reduction that exceeds the threshold may be associated with an improved vision health metric for the subject at a third point in time. Based on the comparison, a treatment output may be generated.

Implantable medical devices for use in or on the eye. An implantable device may have at least one electrode thereon for issuing therapy, such as via electrical current or voltage, while implanted in or on the eye, for the treatment of one or more of macular degeneration, glaucoma, presbyopia, or other condition or disease of the eye. The implantable device may comprise a transducer for receiving power from an external device that may be worn on the patient using any of optical, inductive, mechanical or radiated energy. An example includes an implantable device for placement on the retina which has a gap or opening to place electrodes near the maculae without covering the fovea. Other examples may target other portions of the eye anatomy.

Described is an ophthalmic device that contains visible light filters. The ophthalmic device is a free radical reaction product of a reactive mixture comprising: one or more monomers suitable for making the ophthalmic device; a first visible light filtering compound, the first visible light filtering compound having a visible light absorption maximum between 430 and 480 nm and a full width half maximum (FWHM) at the visible light absorption maximum of at least 35 nm and up to 150 nanometers, wherein the compound is photostable, and wherein the compound has a molar extinction coefficient of at least 7740 L·mol−1·cm−1; and a second visible light filtering compound. The devices may provide one or more benefits to wearers, including enhanced macular pigment optical density (MPOD), as well as improved color perception and color enhancement.

The embodiment of the invention provides a method for acquiring maculopathy edema features in a retina image and electronic equipment, and relates to the technical field of image recognition. The method for acquiring the maculopathy edema features in the retina images comprises the following steps: acquiring a current retina image to be recognized in a plurality of retina images; determining an edema brightness threshold value of the current retina image based on the brightness value of the pixel in the vitreous body region of the current retina image; based on the brightness value of each pixel in the current retina image and an edema brightness threshold value of the current retina image, an edema area in the current retina image is determined, and the brightness value of the pixel in the edema area is smaller than the edema brightness threshold value. According to the invention, feature extraction can be carried out on the macular oedema region in the image based on the brightness value of the pixel in the retina image.

The invention discloses a pair of frame glasses external auxiliary adjustment light splitting glasses and a use method thereof, and particularly relates to the technical field of glasses, the frame glasses external auxiliary adjustment light splitting glasses comprise a glasses frame and glasses legs, the glasses legs are fixedly mounted at the rear end of the glasses frame in a bilateral symmetry manner, and lenses are fixedly connected to the inner surface of the glasses frame in a bilateral symmetry manner; central optical areas are arranged at the centers of the two lenses, the two lenses are provided with peripheral annular optical areas around the central optical areas, and a plurality of micro-cylindrical lenses are arranged in the areas where the peripheral annular optical areas are located. According to the frame glasses external auxiliary adjustment light splitting glasses and the use method thereof, through personalized design and adjustment, the vision correction requirements of different users are met; the size of the central optical area is customized according to comprehensive consideration of the diameter of the macular area, the eyeball curvature, the cornea shape and the personal eye using habit of the user, it is ensured that light is accurately focused on the retina of the user, the correction effect is optimized, and visual discomfort caused by mismatching of the sizes of the optical areas is reduced.

The invention relates to a macular fovea centralis multipoint accurate positioning method and system based on multi-modal fusion, relates to the technical field of medical image processing, and solves the problem of how to overcome lesion interference and image quality difference in diabetic retinopathy patients to realize accurate positioning of macular fovea centralis. The method comprises the following steps: carrying out data preprocessing on multi-classification equal-circle pattern spots, and excluding the types of abnormal pixel area and distance interval in an eye fundus image and abnormal perfusion characteristics in a fluorescein eye fundus angiography image by utilizing a preset equal-circle and equal-distance multipoint constraint condition; and calculating the position, distance and angle of each equal circle according to an equal-circle and equal-distance multi-point constraint condition, and calculating the position of the center point of the macular according to a preset positioning method. The method has the following effect that the positioning accuracy of the macular fovea centralis is improved.

Described is an ophthalmic device that contains visible light filters. The invention provides an ophthalmic device that is a free radical reaction product of a reactive mixture comprising: one or more monomers suitable for making the ophthalmic device; a first visible light filtering compound, the first visible light filtering compound having a visible light absorption maximum between 430 and 480 nm and a full width half maximum at the visible light absorption maximum of at least 35 nm and up to 150 nanometers, wherein the first visible light filtering compound is photostable, and wherein the first visible light filtering compound has a molar extinction coefficient of at least 7740 L·mol−1·cm−1; and a second visible light filtering compound having a visible light absorption maximum between 480 and 530 nm and a full width half maximum of at least 50 nanometers and up to 150 nanometers. The reactive monomer mixture may also contain a third visible light filtering compound. The devices may provide one or more vision benefits, including enhanced macular pigment optical density as well as improved color perception and color enhancement and diminished visual artifacts.