137 results about "Macula Lutea" patented technology

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 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.

Illustrative methods and devices for providing stimulus to the eye to treat vision disorders. Systems and methods for testing thresholds and configuring the stimulation for a patient are provided. Various examples may include therapies for vision disorders that can progress to blindness, such as macular degeneration or other diseases and disease processes.

This invention discloses an ophthalmic disease diagnostic system based on optical coherence tomography (OCT), comprising: an image data acquisition module for acquiring OCT image data; a feature extraction and similarity calculation module for extracting OCT image feature representations and layered structural features of the macular region, calculating macular structural similarity information between different OCT image data, and constructing a structural similarity alignment matrix reflecting the structural similarity among all OCT images; simultaneously constructing an association matrix representing the correspondence between OCT images and disease categories; and a model training module that introduces the structural similarity alignment matrix and association matrix as joint supervision signals into the objective function, adaptively learning to obtain an ophthalmic disease diagnostic model; the ophthalmic disease diagnostic model outputs a classification diagnostic result representing the probability that the input OCT image data belongs to various ophthalmic diseases. This invention achieves automatic identification and classification of ophthalmic diseases, with high diagnostic accuracy and good robustness.

Based on co-drugs representing two different chemical entities and the co- and sequential administration of the two chemical entities, novel therapies for macular degeneration and TTR amyloidosis are provided. The first component (“selective TTR ligand”) is a chemical entity that binds to TTR in the RBP4 (retinol-binding protein 4)-TTR (transthyretin) complex, which participates in the delivery of retinol to the retina. This component reduces retinol transport from circulation to the retina and provides stabilization of the TTR tetramer. The second component (“C20-D3-visual chromophore-generating compound”) is a C20-D3 modified retinoid or carotenoid that, when metabolized in mammals, ultimately produces a C20-D3 visual chromophore, which is presented in the retina as C20-D3-9-cis-retinal or C20-D3-11-cis-retinal. Deuteration at C20 reduces the formation of lipofuscin biretinol, but other functions (such as providing a precursor for the synthesis of the visual chromophore 11-cis-retinaldehyde in vivo) are not reduced.

The invention provides a nanoparticle penetrating cornea as well as a preparation method and application thereof. The nanoparticle comprises a cationic liposome G2-C14, an inner core formed by aliphatic polyester and an amphiphilic polymer, and a shell modified by polysaccharide, the hydrophobic drug and the siRNA are loaded in the inner core. According to the nano-particles provided by the invention, through polysaccharide surface modification, ocular surface adhesion and trans-epithelium transport capability are enhanced, multi-barrier penetration of the eye is realized, the nano-particles are effectively delivered to a focus area of posterior segment of the eye, the delivered siRNA targets to silence the expression of age-related macular degeneration pathogenic genes, and the hydrophobic drug removes active oxygen and inhibits release of inflammatory factors, so that the anti-aging effect of the nano-particles is improved. The focus thickness is synergistically reduced.

The application discloses a macular hole postoperative recovery effect classification method based on OCT images, and comprises the following steps: constructing an OCT image dataset, training and verifying a model; introducing an adaptive model authority coefficient for the differences in the judgment of different deep learning models, and performing model integrated decision support to classify the rehabilitation effect; performing model hyperparameter optimization and deep learning model training and verification; and using the trained deep learning model to classify the macular hole disease rehabilitation effect. The macular hole disease rehabilitation effect classification intelligent implementation method based on OCT images provides a computer-aided tool for clinicians, and can provide quantitative analysis result support for preoperative discussion.

The application discloses an AMD efficacy prediction method, system, device and medium based on feature fusion, belongs to the technical field of efficacy prediction, and comprises the following steps: acquiring optical coherence tomography image data and demographic characteristics of an age-related macular degeneration patient; determining deep learning features and imaging features according to the optical coherence tomography image data; performing feature selection based on the deep learning features, the imaging features and the demographic characteristics to obtain input features; performing calculation by combining a time series analysis network with the input features to determine a hidden state; and performing feature change trend analysis according to the hidden state to determine an age-related macular degeneration efficacy prediction result. The application proposes a multi-feature fusion long short-term memory network, and realizes efficacy prediction of anti-vascular endothelial growth factor treatment for the age-related macular degeneration patient.

The application relates to the technical field of ophthalmic surgical instruments, in particular to an ophthalmic internal limiting membrane tampon, which can protectively and automatically rebound when the tampon is operated with excessive force during a'mechanical' tampon process, so as to prevent iatrogenic retinal pigment epithelial layer damage at the bottom of a macular hole. The device comprises a sleeve-shaped handle, a spring and a probe are arranged in the handle along the length direction of the handle; the probe comprises a probe main body and a probe base, and the two ends of the probe base are connected with the spring and the probe main body respectively; an outer thread is arranged on the outer side of the probe base, and a tensioning wheel is arranged on the handle; the outer thread is divided into at least three thread regions arranged along the length direction of the probe base, including a first thread region, a second thread region and a third thread region; the threads in the first thread region, the second thread region and the third thread region correspond to first threads, second threads and third threads respectively; and the diameters of the second threads are all larger than the diameters of the first threads and the third threads.

The invention relates to the technical field of image processing, in particular to a macular region retina layered structure automatic segmentation system based on an OCT image. The system comprises a memory and a processor, and the processor executes computer programs stored in the memory to implement the following steps: acquiring an OCT image of a retina, and determining an ILM boundary and a complex region based on the gray level of pixel points; obtaining a BM boundary according to the gray scale change characteristics of each column of pixel points in the complex body region; determining a shielding area and a target normal area based on the position of the BM boundary, and further determining an RPE boundary; dividing an abnormal region according to the gray scale relative size of region pixel points between the RPE boundary and the BM boundary in the target normal region, and determining a raised boundary and a normal boundary; and repairing the lifted boundary, and obtaining a macular region retina layered structure segmentation result in combination with a repairing result and a normal boundary. According to the invention, the accuracy of the segmentation result of the macular region retina layered structure is improved.

Illustrative methods and devices for providing stimulus to the eye to treat vision disorders. Systems and methods for feedback relating to the stimulus itself as well as the effect of such stimulus on the patient are provided. Various examples may include therapies for vision disorders that can progress to blindness, such as macular degeneration or other diseases and disease processes.

A low-cost line-field parallel swept-source optical coherence tomography (OCT) system suitable for home monitoring of diabetic retinopathy and other disease states including macular degeneration is disclosed. The system includes a tunable laser coupled to an interferometer and a line-scan detector, and a single-board computer configured to control laser tuning and acquire interference data. A fixation target display is positioned to project an image to a patient's eye, and is moved in discrete steps orthogonal to the projected OCT scanline to acquire multiple B-scans at different retinal positions without mechanical beam scanning. The fixation target movement enables cross-sectional or volumetric retinal imaging using a single fixed OCT scanline, reducing system complexity and cost. The single-board computer processes line-field interferograms into depth-resolved profiles, displays images, and controls fixation target positioning. The system enables early detection and monitoring of diabetic macular edema and other retinal complications in a compact, patient-operable configuration.

A patient's visual health can be evaluated via a virtual reality (VR) system, which can include a VR headset in electronic communication with a computing device. The computing device can cause a phenomenon (such as a visual test or an image) to be displayed on the screens of the VR headset. Using varying combinations of sensors, cameras, probes, and microphones, the VR headset collects data about the patient as she perceives and responds to the phenomenon. Optionally, the computing device can alter the phenomenon and analyze the patient's perception and responses to evaluate the patient for macular degeneration. Optionally, the computing device can alter the phenomenon based on the patient's perception and responses.

To enable understanding of choroidal asymmetry. [Solution] In choroidal vascular images, the direction of blood vessel course is determined for each of several pairs of analysis points that are symmetrical with respect to the line connecting the macula and the optic nerve head. The asymmetry of each pair of analysis points is analyzed from the direction of blood vessel course of each analysis point, and the pair of analysis points with asymmetry is highlighted by enclosing them in a frame.

The invention belongs to the technical field of medical experimental animal models, provides a construction method of a dry age-related macular degeneration animal model, and aims to break through the technical bottlenecks of long construction period, high cost and incomplete pathological feature coverage of an existing model. D-galactose is used for inducing glycosylation end product accumulation and mitochondrial dysfunction, oxidative stress, RPE metabolic disorder and inflammation microenvironment in the dry AMD pathogenesis process can be synchronously simulated, core pathological characteristics such as retina glass membrane wart deposition, RPE atrophy, retina and visual function damage and the like can be accurately reproduced, meanwhile, a multi-dimensional verification system is matched, and the method has the advantages that the method is simple and convenient to operate and high in practicability. The method is suitable for preclinical evaluation of personalized treatment strategies; besides, the method is short in modeling period, the animal model meeting the requirement can be obtained within 8 weeks, the cost advantage is outstanding, and an efficient and reliable experimental animal model can be provided for dry AMD treatment research.

The invention discloses a myopic maculopathy fundus color photo image classification method and system, and belongs to the technical field of image classification. Obtaining a to-be-analyzed fundus color photo; preprocessing the fundus color photo to extract an effective view area and reduce image acquisition difference interference; and inputting the preprocessed image into a deep learning classification network, and outputting an META-PM classification result corresponding to the myopic maculopathy. According to the method, on the premise of not depending on accurate focus labeling, the global structure and the local focus evidence are fused at the same time, the ordered level relation is explicitly modeled, and the cross-device robustness and the long-tail distribution adaptability are improved.

The application relates to an identification method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining a blood vessel image of an eye to be examined, the blood vessel image being generated by optical coherence tomography blood vessel imaging; obtaining statistical features of a macular region in the blood vessel image; and identifying a non-perfusion region in the blood vessel image based on the statistical features. The method can effectively improve the flexibility of identifying the non-perfusion region.

The invention relates to a corneo-capsular protection system (CCPS), which is an ophthalmological device designed to simultaneously protect the corneal endothelium and the posterior capsule during intraocular surgery (phacoemulsification), the system comprising a corneal protection dome (CPD) and a capsular protection floor (CPF). The dome is a foldable, transparent lens that protects the endothelium against mechanical and thermal damage while optionally providing a magnifying effect to improve surgical visibility. The floor is a foldable lens designed to protect the posterior capsule from perforations and trauma. It has a central condensation facilitating its safe removal, and can also provide protection to the macula against prolonged exposure to light. The two components are designed for easy insertion and removal through micro-incisions, thereby reducing the risk of postoperative complications, and have a complete, potentiated protective effect if used in combination.

The invention belongs to the technical field of medical equipment, and particularly relates to gradient out-of-focus hyperopia correction glasses and a design method thereof.The gradient out-of-focus hyperopia correction glasses are each provided with a lens structure with three functional partitions, each lens structure comprises a base lens, and the central portion of each base lens is a central correction area; the annular transition stimulation area is located outside the central correction area, and the peripheral strengthening area is located on the outer side of the transition stimulation area. The design of the gradual-change hyperopia defocusing amount conforms to the effect that the hyperopia defocusing amount is increased in a stepped mode due to the fact that the retina form is transited to the peripheral retina from the macular area, and the good vision correction and hyperopia treatment effects are achieved, it is guaranteed that a clear object image is formed in the central area, and amblyopia training of a patient is not affected; a relatively clear central side view field range is provided, and the visual quality is ensured; peripheral retina hyperopia defocus is formed, and eye axis growth and hyperopia degree reduction are promoted.

The invention provides a retinopathy auxiliary diagnosis system, and the system comprises an image enhancement module which carries out the defogging enhancement processing of an inputted fundus image set, and outputs an enhanced image set; the target detection module positions the optic disc and the macular of each fundus image in the enhanced image set, and outputs a positioning result; the orientation screening module judges and screens qualified images according to a positioning result and a predefined orientation rule; the extraction backbone of the double-branch classification network extracts high-level features and middle-level features; the first classification branch outputs a global classification result based on the high-level features; the second classification branch outputs a local classification result based on the middle-level features; and the diagnosis unit receives the global classification result and the local classification result to generate an auxiliary diagnosis result. According to the system, a discrete series model is replaced by an integrated architecture, redundant calculation is eliminated through connection of image enhancement and target detection, and the problem of high risk of missed diagnosis is solved through orientation evaluation, global and local branch parallel processing and collaborative optimization.

The disclosure refers to a composition comprising poly(3-hexylthiophene) nanoparticles suspended in a saline solution comprising a stabilizing agent selected from a non-ionic surfactant, a water-soluble polymer having high intrinsic viscosity and a combination thereof. The preferred water-soluble polymer is hyaluronic acid. The saline solution is an aqueous solution comprising at least sodium ions and chloride ions. The saline solution may further comprise at least one of: magnesium ions, calcium ions, potassium ions, and combination thereof. The formulation has demonstrated an improved effectiveness in restoring a visual response in the RCS rat model of blindness and is potentially effective in the treatment of human retinal dystrophies such as retinitis pigmentosa (RP) and macular degeneration (AMD).

The invention discloses a viscoelastic compound for stabilizing an inner bound flap in a macular pore surgery, the viscoelastic compound comprises a viscoelastic agent and a penetrant, the viscoelastic agent is any one or a compound of more than two of hyaluronic acid, hydroxypropyl methyl cellulose, methyl cellulose and cross-linked HA; the penetrant is a solution of glucose, cane sugar, mannitol or sorbitol with the mass concentration of 5-20%. According to the application, the specific viscoelastic agent and the penetrant are uniformly fused to form the viscoelastic compound, the viscoelastic compound is accurately coated on a macular pore area in a minimally invasive vitreous surgery to cover the whole pore area, and the viscoelastic compound can provide immediate mechanical fixation, so that the turnover ILM flap is stable and does not move in the operation process, and the operation efficiency is improved. The dissection closing rate of the complex macular hole and postoperative visual function recovery are improved.

Provided herein are systems utilizing machine learning in detecting geographic atrophy. The system can include at least one processor, a memory, and a computing platform including the at least one processor and the memory. The computing platform can be configured to receive volumetric scan images, determine a position of each of the volumetric scan images, generate, using a trained detection algorithm, a probabilistic likelihood that each scan is informative of geographic atrophy or neovascular age-related macular degeneration, include high probability scans in a dataset, determine, using the included scans in the dataset, whether geographic atrophy or neovascular age-related macular degeneration is present or likely to occur, and output, by the detection algorithm, information indicating whether or not geographic atrophy or neovascular age-related macular degeneration is present or likely to occur.

A method of determining pathologic myopia by using the geometric structure of a posterior sclera of a fundus includes obtaining geometric location data about a fovea, an optic disc, and a deepest point of the eye (DPE) in the posterior sclera of the fundus; obtaining an elevation difference TEPSfovea−DPE between the fovea and the DPE, an elevation difference TEPSdisc−DPE between the optic disc and the DPE, and an elevation difference TEPSfovea−disc between the fovea and the optic disc by using location information about the fovea, the optic disc, and the DPE in the posterior sclera; and determining pathologic myopia by using at least two elevation differences selected from among the elevation difference TEPSfovea−DPE between the fovea and the DPE, the elevation difference TEPSdisc−DPE between the optic disc and the DPE, and the elevation difference TEPSfovea−disc between the fovea and the optic disc.

This invention discloses a method and system for grading myopic macular degeneration (ATN) based on multimodal medical imaging. The system includes an image acquisition module for acquiring multimodal retinal images to be graded; a preprocessing module for preprocessing the multimodal images to obtain image sequences that meet preset grading requirements; and a grading module for inputting the image sequences into a pre-stored multimodal multi-task grading model. The model performs feature extraction, multimodal fusion, and multi-task classification on the image sequences, outputting a lesion grade prediction result for each grading task. This invention significantly improves the model's sensitivity to pathological regions by performing pixel-level segmentation of the input images and locating key anatomical structures. In subsequent steps, spatial weighting is applied to CFP image modalities, and specific regions of OCT and OCTA are enhanced, effectively improving the accuracy and robustness of lesion diagnosis and localization.

An ocular fundus image processing apparatus (1) includes: an image input unit (3) that acquires a first ocular fundus image generated by irradiating an ocular fundus of a subject with excitation light of a blue wavelength and a second ocular fundus image generated by irradiating the ocular fundus of the subject with excitation light of a green wavelength; a model generation unit (7) that generates three completed learning models for predicting correction coefficients for calculating a macular pigment amount of the subject from input images including the first ocular fundus image and the second ocular fundus image by training using three different initial values; a coefficient prediction unit (9) that predicts three correction coefficients by inputting the input images including the first ocular fundus image and the second ocular fundus image to the three completed learning models; a coefficient derivation unit (11) that calculates a statistical value using the three correction coefficients as a target and derives the correction coefficients of the subject as a statistical value; and a pigment amount calculation unit (13) that calculates the macular pigment amount of the subject based on the first ocular fundus image and the correction coefficients of the subject.

The application provides an eyeball three-dimensional model construction method, a macular buckle surgery navigation method and system, and the eyeball three-dimensional model construction method comprises the following steps: panoramic scanning of the posterior sclera of a high myopia patient based on wide-angle OCT; three-dimensional reconstruction of the scanned part is performed by using MATLAB software to obtain the posterior segment three-dimensional structure of the high myopia patient's variation area; and a three-dimensional full eye model of the high myopia patient is constructed according to the posterior segment three-dimensional structure of the high myopia patient's variation area and the fixed parameter model of the high myopia patient's constant area. The application constructs an eyeball three-dimensional model based on a wide-angle OCT scanning method, which is more convenient than the traditional MRI method for constructing an eyeball three-dimensional model, has higher detection accuracy for the posterior structure, and is more suitable for navigation application in macular buckle surgery.