38 results about "Retinal lesion" patented technology

A method, code and system for planning the treatment a lesion on or adjacent to the retina of an eye of a patient are disclosed. There is first established at least two beam paths along which x-radiation is to be directed at the retinal lesion. Based on the known spectral and intensity characteristics of the beam, a total treatment time for irradiation along each beam paths is determined. From the coordinates of the optic nerve in the aligned eye position, there is determined the extent and duration of eye movement away from the aligned patient-eye position in a direction that moves the patient's optic nerve toward the irradiation beam that will be allowed during treatment, while still maintaining the radiation dose at the patient optic nerve below a predetermined dose level.

A method, code and system for planning the treatment a lesion on or adjacent to the retina of an eye of a patient are disclosed. There is first established at least two beam paths along which x-radiation is to be directed at the retinal lesion. Based on the known spectral and intensity characteristics of the beam, a total treatment time for irradiation along each beam paths is determined. From the coordinates of the optic nerve in the aligned eye position, there is determined the extent and duration of eye movement away from the aligned patient-eye position in a direction that moves the patient's optic nerve toward the irradiation beam that will be allowed during treatment, while still maintaining the radiation dose at the patient optic nerve below a predetermined dose level.

A method, code and system for planning the treatment a lesion on or adjacent to the retina of an eye of a patient are disclosed. There is first established at least two beam paths along which x-radiation is to be directed at the retinal lesion. Based on the known spectral and intensity characteristics of the beam, a total treatment time for irradiation along each beam paths is determined. From the coordinates of the optic nerve in the aligned eye position, there is determined the extent and duration of eye movement away from the aligned patient-eye position in a direction that moves the patient's optic nerve toward the irradiation beam that will be allowed during treatment, while still maintaining the radiation dose at the patient optic nerve below a predetermined dose level.

The invention provides an automatic detection method for various retinal focuses in a retinal OCT image. The automatic detection method comprises the following steps: acquiring a retinal 3D OCT image;carrying out detection and preliminary segmentation on the retina 3D OCT image by adopting multiple trained retina focus detection and segmentation models to obtain a focus area subjected to preliminary segmentation; and correcting the preliminarily segmented lesion area to obtain an accurate retinal lesion area. According to the automatic detection method, the retinal focus area in the retinal OCT image can be accurately detected, and various retinal focuses in the retinal OCT image can be quantitatively analyzed, and ideal robustness and accuracy are achieved.

Methods of preventing retinal detachment associated with proliferative vitreoretinopathy are provided by administering agents which antagonize the activity or function of EMP2 to subjects at risk of the detachment.

The present invention relates to the use of short interfering nucleic acid molecules (siNA, such as siRNA) that modulate the expression of VEGF-C and / or RhoA involved in neovascular angiogenesis. In the present invention, inhibition of VEGF-C and / or RhoA gene expression results in decreased expression of VEGF-A, which is required for the initiation and persistence of angiogenesis. Furthermore, the present invention also relates to the inhibition of RhoA expression levels and VEGF-C expression levels to gain the benefit of downregulating two different targets required for angiogenesis. The present invention describes compounds, compositions and methods for the inhibition of neovascularization. In certain embodiments, the present invention relates to methods for inhibiting neovascularization, and compounds for treating ocular diseases such as age-related macular degeneration (AMD), diabetic retinopathy, glaucoma, and other neovascular diseases , such as VEGF-C siRNA and RhoAsiRNA.

The invention discloses a method for measuring lesion characteristics of hypertensive retinopathy. The method comprises the following steps: acquiring a fundus image; recognizing an optic disc region of the fundus image and dividing the fundus image into at least three regions including a first region, a second region and a third region based on the optic disc region; performing artery and vein segmentation on the fundus image by using an arteriovenous segmentation model based on deep learning to obtain arteriovenous segmentation results, wherein the arteriovenous blood vessel marking results include an artery marking result, a vein marking result and a small blood vessel marking result; and based on the three regions and the arteriovenous segmentation result, measuring lesion characteristics in the fundus image, wherein the lesion characteristics comprise at least one of arteriovenous cross-indentation characteristics, arteriovenous local stenosis characteristics and arteriovenous general stenosis characteristics. According to the present disclosure, it is possible to provide a measurement method and a measurement system for efficiently and objectively measuring lesion characteristics of hypertensive retinopathy.

The invention relates to the field of medical information intelligent processing, in particular to a convolutional neural network weight optimization method for retinal lesion classification. The method comprises the following steps: firstly, acquiring a fundus image training set and a corresponding multi-lesion label; searching an optimal initial weight value through a single-population leapfrogalgorithm, then constructing a convolution layer, a pooling layer and a full connection layer in the convolutional neural network, and taking the optimal initial weight value as a parameter of first forward propagation calculation; performing cross entropy loss calculation and summation on the four predicted values of the four lesions in the retina and the true value to obtain a loss value, judging whether the loss value is abnormal or not, if the loss value is abnormal, generating a frog group around the weight of the previous forward propagation, and searching an optimal frog updating network weight; otherwise, updating the network weight by adopting a gradient descent algorithm; and finally, optimizing the final weight. According to the method, the accuracy of fundus image multi-lesiondetection can be effectively improved, and the method has high application value for retinal diseases and adjuvant therapy.

A device and method of ophthalmic diagnosis of lesions on retina utilizing a slit lamp apparatus with a pupil reader and at least one visible LED and one Infrared LED to detect a lesion on the retina of an eye.

The invention relates to the technical field of medical image processing, in particular to an artificial intelligence system for identifying high myopia retinopathy, comprising: an image acquisition module for acquiring an optical coherence tomography image and a fundus reference of a patient to be identified; the first recognition module is used for inputting the optical coherence tomography image into a high myopia retinopathy recognition model, judging whether the optical coherence tomography image has lesion or not and obtaining a lesion type result; the second recognition module is used for inputting the fundus color photograph into a high myopia retinal lesion staging model, judging the retinal lesion staging of the fundus color photograph and obtaining a lesion staging judgment result; and the report generation module is used for generating a diagnosis and treatment suggestion report according to the lesion type result and the lesion staging judgment result. According to the method, the optical coherence tomography image and the fundus color photograph of the patient can be quickly and effectively recognized to recognize common retinopathy of high myopia.

The invention provides a retinopathy recognition model generation method, a recognition device and equipment. The method comprises the steps: training a preset network model by employing fundus imagesin a training set, obtaining a trained retinopathy recognition model, and enabling the fundus images in the training set to carry classification mark information corresponding to the fundus images, wherein the classification mark information is retina feature classification information corresponding to the eye fundus picture, and the preset network model learns the classification mark informationcontained in the eye fundus picture in the training process. Thus, the trained retinal lesion recognition model can be used for recognizing the retina image contained in the detection picture, and anaccurate classification result of the retinal features is given. According to the method, the device and the equipment provided by the embodiment of the invention, the network model for retinopathy recognition is trained in a deep learning mode, so that the accuracy and the detection efficiency of fundus image recognition are improved.

The invention provides an inhibitor for autophagy and apoptosis of retinal pigment epithelial cells RPE and application of the inhibitor, and relates to the technical field of biological medicines. The invention relates to an inhibitor for autophagy and apoptosis of retinal pigment epithelial cells RPE. The inhibitor comprises an antagonist Met of a tumor necrosis factor superfamily receptor FAS.It is verified that the tumor necrosis factor superfamily receptor FAS can serve as a receptor of GMFB to activate downstream autophagy and apoptosis pathways, the antagonist Met of the tumor necrosisfactor superfamily receptor FAS can inhibit activation of the FAS and downstream related pathways of the FAS, cell apoptosis and autophagy reactions are reduced, and therefore the morbidity process of diabetic retinopathy is delayed. The inhibitor can be used for preparing medicines for delaying and / or treating diabetic retinopathy in the early stage of disease.

The invention relates to an artificial transcription factor comprising a polydactyl zinc finger protein targeting specifically a receptor gene promoter fused to an inhibitory or activatory protein domain, a nuclear localization sequence, and a protein transduction domain. In particular examples these receptor gene promoters regulate the expression of the endothelin receptor A, the endothelin receptor B, the Toll-like receptor 4 or the high-affinity IgE receptor. Artificial transcription factors directed to the endothelin A or B receptors are useful in the treatment of diseases modulated by endothelin, such as cardiovascular diseases, and, in particular, eye diseases, e.g. retinal vein occlusion, retinal artery occlusion, macular edema, optic neuropathy, central serous chorioretinopathy, retinitis pigmentosa, Leber's hereditary optic neuropathy, and the like. Artificial transcription factors directed to the Toll-like receptor 4 or the IgE receptor are useful for the treatment of autoimmune disorders, and the like, and allergic disorders, respectively.

The present invention relates to methods that involve administration of an anti-S1 P antibody or antibody fragment or derivative to a subject having or suspected of having an ocular disease or condition, including one involving choroidal neovascularization, in order to achieve a desired effect. Such effects include reducing the size of a choroidal neovascularization lesion in the eye, decreasing or resolving retinal pigment epithelial detachment, decreasing central retinal lesion thickness, and preserving or improving visual acuity. Pharmaceutical compositions comprising an anti-S1 P antibody for ocular administration are also provided. The compositions and methods are particularly useful for treating subjects having age-related macular degeneration, particularly exudative or wet age-related macular degeneration.

A method, code and system for planning the treatment a lesion on or adjacent to the retina of an eye of a patient are disclosed. There is first established at least two beam paths along which x-radiation is to be directed at the retinal lesion. Based on the known spectral and intensity characteristics of the beam, a total treatment time for irradiation along each beam paths is determined. From the coordinates of the optic nerve in the aligned eye position, there is determined the extent and duration of eye movement away from the aligned patient-eye position in a direction that moves the patient's optic nerve toward the irradiation beam that will be allowed during treatment, while still maintaining the radiation dose at the patient optic nerve below a predetermined dose level.

The invention discloses a premature infant retina plus lesion detection method and system, and the method comprises the steps: firstly inputting a to-be-detected retina posterior pole image into an image quality detection model for quality evaluation, and inputting a qualified image into a blood vessel recognition model to obtain a blood vessel graph; inputting the blood vessel graph into a lesiondetection model, and outputting the probability of the corresponding lesion types of plus, pre-plus and no-plus; and converting the probability of the lesion type of the lesion examination into a corresponding i-ROP lesion score according to a preset score conversion equation to reflect the continuity of the retinopathy degree. According to the invention, the severity of plus lesion is objectively measured, and the severity is tracked over time to provide objective assessment of disease progression or regression; by analyzing the change of the score along with the time, the eyes which progress into plus lesion ROP can be recognized in advance under most conditions for early intervention, disease delay caused by insufficient diagnosis is prevented, the accuracy of lesion degree detection is high, and the ophthalmoscope examination frequency of doctors can be greatly reduced.

The invention discloses a retinopathy detection system based on a lesion attention pyramid convolutional neural network, and relates to a retinopathy detection system. The objective of the invention is to solve the problem of low retinopathy detection accuracy in the prior art. The system comprises an image processing main module used for collecting an original retinopathy image and preprocessing the collected original retinopathy image to obtain a preprocessed original retinopathy image; the neural network main module is used for building a lesion attention pyramid convolutional neural network model; the training main module uses the preprocessed original retinopathy image to train a built lesion attention pyramid convolutional neural network model to obtain a trained lesion attention pyramid convolutional neural network model; and the detection main module is used for loading the trained lesion attention pyramid convolutional neural network model and classifying retinopathy images to be tested. The method is applied to the field of medical image processing.

The invention belongs to the technical field of computer vision, and discloses a fluorescein fundus angiography image processing system and device, and the system comprises an image preprocessing module which is used for obtaining a to-be-processed fluorescein fundus angiography image, and carrying out the preprocessing of the fluorescein fundus angiography image; the lesion area and lesion area non-perfusion area segmentation module is used for processing the preprocessed fluorescein fundus angiography image through a pre-trained semantic segmentation model, and determining a lesion area in the image and a non-perfusion area in the lesion area; and the ischemic index calculation module is used for acquiring the area value of the lesion region and the area value of the non-perfusion region, and calculating to obtain the clinical ischemic index corresponding to the fluorescein fundus angiography image. According to the method, the lesion area in the fluorescein fundus angiography image and the non-perfusion area in the lesion area can be segmented, lesion quantification is realized, and the method is suitable for various retinopathy effects.

Methods, systems, and devices to improve the assessment of visual function and overcoming limitations of current methods to identify the visual function that potentially could be reached by a given eye. Multiple eye tests including visual stimuli plus optical measurement components, and methods to combine the results, identify and quantify sources of decreased vision resulting from optical sources, such as a lens and cornea as distinguished from retinal sources. By identifying potentially correctable optical sources of decreased vision, and overcoming physiological limitations such as size of the eye's pupil, the visual benefits of treatment such as by cataract or corneal surgery are distinguished from retinal pathology that requires medical intervention. The devices and methods provide metrics that include an expected value of the visual function and sources of variability including both optical and neural components, to guide treatment and improve clinical trials.

The invention discloses a method for grading diabetic retinopathy based on multi-scale cascading, including: a Res2Net basic network for extracting multi-scale information of input images, an attention module for extracting feature maps of the first layer, and integrating feelings with more discriminative feature representations The field module and multi-scale cascaded network; the loss of shallow information is reduced by extracting multi-scale information, and the shallow information and high-level information are fused through cascading. Complementarity to enhance the acquisition of information, combined with multi-scale and cascade can effectively improve the grading effect of DR, which has certain clinical and algorithmic significance.

The invention discloses a retinopathy evaluation model establishing method. The method comprises the steps: enabling a retinopathy evaluation model building system to carry out the image correction ofa plurality of stored retinopathy images, so as to obtain a plurality of corrected images, enabling each retinopathy image to be corresponding to a lesion severity level, and enabling the corrected images to be grouped into a training subset, a verification subset and a test subset, and establishing a retinopathy evaluation model according to each corrected image in the training subset and the corresponding lesion severity level thereof, and each corrected image in the verification subset and the corresponding lesion severity level thereof, and finally detecting the accuracy of the retinopathy evaluation model according to the test subset. In addition, the invention further provides a retinopathy evaluation model establishing system.

The invention discloses agilawood eye-protecting liquid. The agilawood eye-protecting liquid is prepared from the following raw materials in parts by weight: rhizoma corydalis, borneol, borax, medical sodium hyaluronate gel, normal saline and agilawood based on the ratio of 3-8: 20-120: 20-120: 1-3: 800-1300: 20-60. The agilawood eye-protecting liquid can effectively help eye fatigue, dry samples, polyps, lacrimation with wind, cataract, myopia, blurred eyes, dark eye circles and the like; more than 50 compounds in the agilawood have a certain effect of repairing AD diseases; and quercetin, mangiferin, ursolic acid, linalool and linalool in the agilawood have anti-inflammatory and antibacterial effects, especially the quercetin can obviously inhibit BRPC cell apoptosis in a high glucose state, can prevent and treat retinopathy, can inhibit damage of oxidative stress to retinal pigment cells RPE and can protect eyes by preventing cell apoptosis.

The invention discloses an optical coherence tomography image retinopathy intelligent detection system and a detection method. Currently obtained retinal images are mainly judged by ophthalmologists relying on naked eye observation, which is not conducive to large-scale promotion. The present invention takes the idea of ​​deep learning as the technical core, combines the migration learning strategy, uses the convolutional neural network algorithm in the deep learning model to construct a classifier, realizes the classification of retinal lesions, and uses the image segmentation algorithm to realize the extraction of lesions and retinal layering , so as to obtain the specific information of the lesion position in the picture and the quantitative information of the morphological parameters, and generate relevant diagnostic reports for further diagnosis by doctors. The present invention can make up for the blank of the current optical coherence tomography system in the field of intelligent identification and precise positioning of lesions, effectively reduce the work intensity of doctors, and further promote the clinical application and technical development of the optical coherence tomography system in the diagnosis of ophthalmic diseases.

The invention discloses a retinal image registration method with affine invariance and a device thereof, and relates to the technical field of image processing. Compared with the whole treatment of the traditional technology, the invention discloses a retinal image registration method with affine invariance. On the basis of a retinal skeletal network image, a local image structure (namely a candidate feature region) is intercepted through two intersections which are communicated with each other in a connected domain; and the local image structure is transformed (rotated, Gaussian filtered andcompressed) into a form suitable for a circular Gaussian filter, so that the problem of visual angle and scale change is solved, the registration precision of multiple images is improved, the construction of complete retinal image information is facilitated, the interference of retinal lesions on diagnosis is reduced, and the diagnosis accuracy is improved.

The present invention is a type of fundus camera which is one of eye examination and diagnosis equipment. A conventional color fundus camera is equipment for illuminating retinas with light of the visible band (400-640 nm), and then showing retinal lesions and diagnosing retinal diseases. The present invention relates to: a choroidal imaging fundus camera capable of photographing both a choroidal vessel and a choroidal lesion at the back of the retina with near-infrared rays having a wavelength longer than 640 nm; and a device comprising the same. A polarizing fundus camera for effectively suppressing internal reflection, of the present invention, comprises: a lighting part (10) for emitting light; a diffusion lens (20) for diffusing the light incident from the lighting part (10); a lighting lens (30) for emitting, at a predetermined emission angle, the light incident from the diffusion lens (20); a mirror (40) for reflecting the light incident from the lighting lens (30); a polarizing beam splitter (50) allowing a P-polarized light to pass therethrough and an S-polarized light to be reflected in the light incident from the mirror (40); an objective lens (60) for magnifying an image of the fundus of the eye, which has been formed by the light incident from the polarizing beam splitter (50); a short-range eyepiece (70) for reducing the image, of the fundus of the eye, having been magnified by means of the objective lens (60); a linear polarizing filter (80) allowing only the P-polarized light to pass therethrough; a narrow-band optical filter (90) filtering, from the light having passed through linear polarizing filter, the light having a band of 12 nm or less and emitted from the polarizing beam splitter (50); and an imaging device (100) using the light having passed through the narrow-band optical filter (90) so as to convert the same into an electrical signal and acquire an image, wherein the linear polarizing filter (80) respectively has a first linear polarizing filter (81) provided between the lighting part (10) and the polarizing beam splitter (50), and a second linear polarizing filter (82) provided between the polarizing beam splitter (50) and the short-range eyepiece (70).

The invention discloses a diabetic retinopathy detection system based on serial structure segmentation, comprising: a fundus image acquisition device for acquiring retinal fundus images and a data processing device for analyzing and processing the collected fundus images, and the data processing device includes: a preprocessing function Module, blood vessel segmentation function module, optic disc segmentation function module, fovea determination function module, exudation segmentation function module, statistical calculation function module and doctor diagnosis function module, count the exudation area and calculate the presence of diabetic macular edema in the input fundus image Finally, combined with the results of statistical calculations, the fundus doctor will give the final diagnosis and treatment plan by referring to the segmented exudate area and disease probability, combined with his own specialty. The present invention systematically considers various related physiological structures of the fundus, segments out the lesion area and then gives a diagnosis report by the fundus doctor, which is efficient in detection and more accurate in detecting the lesion, which can greatly reduce the workload of doctors and improve work efficiency.

The present invention contemplates an infant eye model for wide field retinal imaging by implementing nominal physical parameters and optical characteristics found in scientific literature and by simulating retinal features and details found in real eye images. The present invention also contemplates implementing a corneal model with a translucent plastic to mimic image haze and 1st Purkinje reflection. The present invention also contemplates implementing a birefringent layer to the lens posterior surface to simulate 4th Purkinje reflection and its brightness variation. The present invention further contemplates implementing a photo-realistic retinal hemisphere shell to provide retinal details and demonstrate retinopathy associated with retinal diseases.

The invention discloses an adeno-associated virus virion with a mutant capsid and application thereof. The adeno-associated virus virion with a mutant capsid has a mutant AAV6 capsid protein that confers enhanced retinotropic Müller cell infectivity. Wherein, relative to the corresponding parent AAV6 capsid protein, the 663rd serine in the amino acid sequence of the mutant AAV6 capsid protein is mutated to leucine. The pharmaceutical composition comprises the adeno-associated virus virion and a pharmaceutically acceptable excipient. The invention obtains an AAV vector for specifically and efficiently transducing Müller cells by site-directed mutation of the amino acid encoding the AAV6 capsid, and is applicable to a method for carrying an exogenous therapeutic gene to transduce Müller cells to treat retinopathy.