62 results about "Corneal topographer" patented technology

The invention relates to the technical field of medical equipment control, in particular to a control system and a control method of cornea crosslinking equipment. The control system comprises a multi-modal data fusion module which is configured to integrate a preoperative corneal topographic map curvature matrix, OCT layering thickness data and biomechanical parameters to generate a four-channel fusion tensor; the virtual cornea modeling module is configured to input a conditional generative adversarial network to generate a virtual cornea model under the condition of the four-channel fusion tensor; the dynamic energy planning module is configured to generate a thermodynamic diagram of energy distribution based on mechanical response prediction of the virtual cornea model; and an illumination control module configured to perform patterned illumination based on the thermodynamic diagram. According to the method, the virtual cornea model is constructed, the energy distribution thermodynamic diagram is generated, accurate patterning reference can be provided for irradiation treatment, and a better treatment effect is achieved.

The invention relates to the technical field of intelligent medical treatment, and discloses a cataract surgery navigation control method based on multi-modal fusion, which comprises the following steps: carrying out lightweight preprocessing on an eye fundus image, ultrasonic probe data, a corneal topographic map and intraocular pressure parameters through an edge computing architecture, and constructing an efficient feature extraction network by adopting a knowledge distillation technology; self-adaptive feature fusion is realized based on an uncertainty quantification mechanism, real-time structure recognition is provided by utilizing an augmented reality technology, an intelligent navigation strategy is generated by pre-training a reinforcement learning model, an instrument control system with multilayer safety guarantee is established, and continuous optimization of the system is realized by adopting an online learning mechanism. According to the invention, the precision and safety of the operation are effectively improved, and an effective technical scheme is provided for intelligent navigation control of the cataract operation.

The invention discloses an OK lens offset quantitative detection method and system based on a corneal topography map, and the method specifically comprises the following steps: carrying out the preprocessing of the corneal topography map, intercepting a lower half region, converting the lower half region into an HSV color space, and separating the brightness and chrominance information; extracting cornea sclera boundaries and OK lens red and green mark areas through dynamic threshold segmentation, and determining boundary key points and lens mutation point coordinates in combination with a sub-pixel level positioning technology; a standardization coefficient is dynamically calculated through the cornea diameter, and the pixel distance is converted into the actual physical offset. Through multi-modal feature fusion and dynamic parameter adjustment, the positioning error is reduced to + / -0.02 mm, the single time consumption is less than 5 seconds, and the method has the robustness of illumination interference resistance, motion blur resistance and individual cornea size difference, and provides an efficient and objective quantitative basis for evaluation of the wearing effect of the OK lens.

In certain embodiments, an ophthalmic system for determining the topography of the anterior surface of the cornea of an eye comprises an illuminator, a camera, and a computer. The illuminator illuminates the anterior surface of the cornea of the eye with a Placido pattern. The Placido pattern comprises a plurality of rings. A ring of the plurality of rings has a distinguishing feature that distinguishes the ring from an adjacent ring. The anterior surface of the cornea reflects the Placido pattern. The camera captures an image of the reflected Placido pattern. The computer: analyzes the image to detect a distortion of the ring that indicates an anomaly of the anterior surface of the cornea; identifies the ring of the plurality of rings according to the distinguishing feature of the ring; and generates the topography of the surface of the cornea that includes the anomaly.

The present invention provides a multi-model-based intelligent fitting method and system for multimodal orthokeratology lenses. Through the recall model, the parameters that best match the patient's corneal morphology are automatically screened out from candidate lenses, making up for the shortcomings of traditional experience-based methods; a ranking model is used to optimize lens selection: among the screened candidate lenses, the lenses with the best orthokeratology effect are further selected through the ranking model. The ranking model takes into account two major criteria: the axial growth rate and the type of corneal topography difference map before and after fitting the lenses, thereby improving the accuracy of personalized treatment. Through objective evaluation of the axial growth rate and the type of corneal topography difference map, the subjectivity of traditional methods is avoided, and the orthokeratology effect can be evaluated more accurately.

A tomographic imaging system, methods to visualize tomographic images, and a ‎stereoscopic calibration procedure for obtaining two-dimensional cross-sectional ‎and three-dimensional volumetric images over the entire anterior eye. The optical ‎system combines stereoscopic imaging with patterned illumination (e.g., slit-‎scanning or array of slits). The captured cross-sectional images can be viewed ‎individually or as a fly-through video. The calibration and reconstruction methods ‎determine the true spatial location of imaged features and record a 3D volumetric ‎representation of the anterior eye. The system can image the entire anterior ‎chamber and contiguous structures, including the corneal limbus, sclera and ‎eyelids. Furthermore, the system can obtain corneal topography. ‎

A device and method for early detection of eye disease including a corneal topography device including a camera, such as a rotating Scheimpflug camera, configured to measure the elevation of a patient's two anterior corneas sequentially or simultaneously; a computer processor; and non-transitory computer readable media including computer readable instructions, which, when executed by the computer processor, causes the device to measure and store elevation data at a plurality of points on the patient's anterior corneal surfaces; organize the elevation data for each cornea into a two-dimensional matrix where the center of the cornea is in the center of the data frame, rotate the data for a first eye 180 degrees around the Y axis relative to a second eye, subtract data on each corresponding corneal point, and generate an elevation difference matrix showing the degree of symmetry or asymmetry between the patient's left and right eye corneal topography.

This invention discloses a method, apparatus, device, and storage medium for measuring repeatability using a corneal topography instrument. The method includes the following steps: performing multiple independent and repeated measurements on the same test surface using a corneal topography instrument to obtain multiple sets of corneal topography data; calculating the single-point standard deviation of each measurement point within the measurement area based on the multiple sets of corneal topography data to characterize the single-point repeatability of each measurement point; assigning an area weight value representing its spatial representativeness to each measurement point; and performing a weighted calculation based on the single-point standard deviation of each measurement point and its corresponding area weight value to obtain the overall measurement repeatability index of the corneal topography instrument. This invention overcomes the shortcomings of existing technologies that use the maximum single-point standard deviation to characterize repeatability, which is susceptible to gross errors, and provides a more comprehensive and objective repeatability evaluation scheme.

Techniques are described for generating and using an illumination pattern for corneal topography. In some examples, the illumination pattern is projected over a sequence of frames, including a first frame with a first pattern of dots arranged along a two-dimensional grid, and a second frame with a second pattern of dots arranged along the two-dimensional grid. The first pattern differs from the second pattern with respect to a wavelength of light used to project one or more dots, a position of one or more dots, or both. After the illumination pattern has been determined, it can be projected over the sequence of frames and onto an eye of a user. Reflections of the illumination pattern as projected over the sequence of frames can then be used to calculate an eye model characterizing a topography of a cornea of the eye of the user.

1. Name of the designed product: corneal topographer. 2. Use of the designed product: the designed product is used for measuring the curvature distribution of the cornea of the eye, for fitting and wearing period analysis of corneal contact lenses. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: front view. 5. Uncommon views, omit bottom view.

Methods and apparatus are configures to measure an eye without contacting the eye with a patient interface, and these measurements are used to determine alignment and placement of the incisions when the patient interface contacts the eye. The pre-contact locations of one or more structures of the eye can be used to determine corresponding post-contact locations of the one or more optical structures of the eye when the patient interface has contacted the eye, such that the laser incisions are placed at locations that promote normal vision of the eye. The incisions are positioned in relation to the pre-contact optical structures of the eye, such as an astigmatic treatment axis, nodal points of the eye, and visual axis of the eye.

The application belongs to the technical field of ophthalmic medical instruments, and provides a corneal topography measurement method, an instrument, an electronic device and a program product, the corneal topography measurement method obtains the corneal diameter and the corneal vertex of the eye cornea of a detected object; determines the distance between the corneal vertex and the vertex of a Placido disc, determines the eccentricity of the Placido disc; determines the shape of the Placido disc according to the eccentricity of the Placido disc, and determines the ring number of the Placido disc according to the corneal diameter; collects the corneal topography imaging after the concentric ring on the Placido disc is reflected on the corneal surface of the detected object; based on the shape and the ring number of the Placido disc, analyzes a plurality of concentric rings contained in the corneal topography imaging, and obtains the corneal topography data of the detected object. The accuracy of measuring the corneal topography is improved, so that the micro-landscape features of the corneal surface can be more accurately obtained.

1. Name of the product in this design: Corneal Topography Instrument. 2. Purpose of this design: For non-contact measurement and analysis of corneal morphology and curvature. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention discloses a cataract surgery cooperation method and system based on a wearable intelligent surgical glove, and belongs to the technical field of man-machine interaction.The method comprises the steps that through the intelligent surgical glove worn on the hand of a user, operation actions of all parts of the hand are tracked in real time, and hand action parameters of the user are obtained; performing anomaly detection on the hand action parameters based on a preset optimal operation path and an intraoperative OCT image stream; wherein the optimal operation path is obtained based on historical trajectory data and a corneal topographic map of the patient; according to the operation risk early warning corresponding to the abnormal detection result, the hand action of the user is adjusted through the intelligent operation glove. Therefore, by implementing the method and the device, the operation path indication can be provided for the operator during the cataract operation, and the operator can be reminded in time when the abnormal operation may cause the operation risk.

An ophthalmic device for multiple eye health measurements is provided. The ophthalmic apparatus includes: an objective lens module for collecting and initially focusing an image of an eye of a subject; the sight fixing mark is used for fixing the eyes of the detected person at a watching position; the corneal topography measuring unit is used for measuring corneal geometric parameters; a fundus imaging unit for imaging a fundus; the first light beam separator is used for separating or combining light paths among the objective lens module, the corneal topography measuring unit and the fundus imaging unit; and a second beam splitter for deflecting the beam from the fixation target to the eye of the subject. The objective lens module, the fixation target, the first beam splitter and the second beam splitter are shared by the corneal topography measuring unit and the fundus imaging unit, so that the size and complexity of the whole system can be reduced.

Apparatus and methods are presented for optical coherence tomography and metrology of an eye, with the apparatus being switchable between anterior chamber and posterior chamber modes. In the posterior chamber mode the apparatus is configured to provide tomographic imaging of the retina, while in the anterior chamber mode the apparatus is configured to provide tomographic imaging of one or more features in the anterior chamber and one or more additional imaging or metrology modalities including at least one of wavefront sensing and reflection based corneal topography. In preferred embodiments the apparatus comprises an optical relay having one or more electrically actuatable elements for switching the apparatus between the anterior chamber and posterior chamber modes.

The invention discloses a corneal difference intelligent identification system and method based on deep learning, and relates to the technical field of ophthalmology medical treatment, corneal topography maps and corneal difference maps before and after a shaping lens is worn are used as input features, and the corneal difference maps are classified by identifying the position and structural integrity of a defocus ring. And a comprehensive analysis method is formed by combining review and verification of a doctor, so that the evaluation accuracy of the corneal shaping effect is improved, and the possibility of misjudgment and missed judgment is reduced. According to the method, the multi-level Resnet50 corneal difference recognition model is trained by using a large batch of data, automatic recognition and analysis of the corneal difference chart are realized, the corneal shaping effect can be quickly and accurately evaluated, the time and errors of manual analysis are reduced, and the method can replace a deep ophthalmologist to assist in judging the effect of a shaping lens.

According to the multi-model-based intelligent fitting method and system for the multi-modal orthokeratology lens, parameters most matched with the corneal morphology of a patient are automatically screened out from candidate lenses through a recall model, and the defects of an experience-dominated traditional method are overcome; and optimizing lens selection by using a sorting model: further selecting the lens with the best shaping effect from the screened candidate lenses through the sorting model. The sorting model considers two standards, namely the eye axis growth speed and the type of a difference map of corneal topography before and after lens matching, so that the accuracy of personalized treatment is improved. Through objective evaluation of the eye axis growth speed and the difference map type of the corneal topography map, subjectivity in a traditional method is avoided, and the shaping effect can be evaluated more accurately.

This invention provides a method for rating the corrective effect of corneal topography after orthokeratology. It utilizes a mobile image acquisition system to collect corneal topography images of the user one month after lens wear. In a data segmentation and processing system, a deep learning model segments the effective optical zone and pupil within the corneal topography image. Medical indicators such as eccentricity, defocus, and effective defocus range are calculated and rated according to evaluation criteria. The results are finally output to visual hardware. This invention provides a method for rating the corrective effect of corneal topography after orthokeratology. By leveraging the segmentation capabilities of a deep learning model, the effective optical zone and pupil in the corneal topography image can be accurately segmented, and the corneal topography can be rated based on calculated medical indicators. This avoids subjective interference from the operator during lens fitting, and overall, this invention can significantly reduce the fitting workload of optometrists.

An ophthalmic system for generating a topography of an anterior corneal surface of an eye comprises an illuminator, cameras, and a computer. The illuminator illuminates the anterior corneal surface of the eye with a Placido pattern, which reflects the Placido pattern. Each camera generates an image of the reflected Placido pattern to yield multiple images. At least one camera is oriented off an axis of the eye. For each image, the computer calculates a curvature value for each data point of the image, where a data point corresponds to a surface point of the anterior corneal surface. The calculations yield curvature values for each surface point. The computer determines the curvature at each surface point from one or more curvature values for the surface point. The computer generates the topography of the anterior corneal surface from the curvatures at the surface points of the anterior corneal surface.

1.The name of the design product: graphical user interface of corneal topography medical image display of electronic device. 2.The use of the design product: an electronic device. 3.The design points of the design product: the graphical user interface. 4.The picture or photo that best indicates the design points: interface change state diagram 2. 5.Other views are conventional designs, and other views are omitted. 6.The use of the graphical user interface: the interface of the design product is a graphical user interface applied to comprehensive analysis of binocular comparison of patient corneas and information display. 7.The human-computer interaction mode of the graphical user interface: the main view is the home page interface applied by the user; in the main view, the “corneal topography” button in the interface is clicked to enter interface change state diagram 1; in interface change state diagram 1, the “binocular comparison” button in the interface is clicked to enter interface change state diagram 2; ×××× in the interface represents text and / or numbers and / or letters and / or symbols; the color block area in the interface is variable content, which does not belong to the design points of the design product.

Devices and methods for the amelioration of ectatic corneal disorders using corneal augmentations derived from corneal tissue are disclosed. The shape of the augmentation is determined using data obtained from mapping of a patient's cornea based on computerized corneal topography and tomography. Factors considered include the maximum keratometry and specific iso-deviation contours. In one embodiment, an augmentation is a corneal inlay, intended for insertion into an intrastromal pocket. In a further embodiment, the augmentation is a corneal onlay, intended to be positioned over a region of the cornea from which the epithelial layer has been removed. The corneal onlay is held in place until the epithelial layer regrows over the augmentation. In a further embodiment, the inlay or onlay augmentation is followed by a post-augmentation, further reshaping of the corneal augmentation. In one embodiment, this further reshaping is photorefractive keratectomy (PRK) surgery.

The invention discloses a corneal topographic map feature point extraction method and system based on Gabor filtering and sub-pixels, and the method comprises the steps: collecting an original image based on a corneal topographic map, and carrying out the image preprocessing, and obtaining an image after data standardization; obtaining a main direction field and a frequency field of the image after data standardization, and carrying out image filtering processing through an even symmetry Gabor filter to obtain a circular ring feature image; and sequentially carrying out edge coarse positioning extraction and sub-pixel edge fine positioning extraction on the circular ring feature image to obtain sub-pixel-level corneal topography image feature points. The method can adapt to circular ring structures in different directions and frequencies and can quickly and accurately fit the circular ring contour in the corneal topographic map. The corneal topographic map feature point extraction method and system based on Gabor filtering and sub-pixels can be widely applied to the technical field of ophthalmology image processing.

A device and method for early detection of eye disease including a corneal topography device configured to measure the elevation of a patient's anterior and posterior corneas sequentially or simultaneously; organize the elevation data for each cornea into a two-dimensional matrix where the center of the cornea is in the center of the data frame, rotate the data for a first eye 180 degrees around the Y axis relative to a second eye, subtract data on each corresponding corneal point, and generate an elevation difference matrix showing the degree of symmetry or asymmetry between the patient's left and right eye corneal topography. A quantitative corneal symmetry index that measures the three-dimensional (3D) volume difference between the corneal surfaces of fellow eyes for differentiating between normal and abnormal corneas, including early detection and prognosis of ectatic disorders such as keratoconus and Fuchs dystrophy.

The application discloses a kind of corneal molding lens parameter prediction methods based on multimodal chain label, it is related to corneal molding lens parameter prediction field, the method includes the original data of corneal topography is reconstructed to obtain standardized corneal data;Standardized corneal data and structured clinical parameters are fused to obtain multimodal data in two channels;Multimodal data is processed in chain, and the prediction result of previous parameter is used as the prediction adjustment of current parameter, and the numerical value of each target parameter is sequentially predicted;The video data of try-on of slit lamp fluorescein sodium dyeing is extracted and compared, to determine the first fitting evaluation data and the second fitting evaluation data of lens;Unqualified first fitting evaluation data and / or second fitting evaluation data are matched with parameter rule base, to determine the target parameter to be adjusted and its adjustment value, and the parameter of corneal molding lens is adjusted.The application has the effect of improving the prediction accuracy of corneal molding lens parameter.

The utility model discloses an intelligent fitting auxiliary system of an orthokeratology lens based on a corneal topography map, which comprises a detection module used for acquiring optometry parameters and corneal characteristics of a patient; the cornea topography initial construction module is used for drawing a cornea initial construction topographic map according to the optometry parameters and the cornea characteristics; the cornea terrain optimization module is used for obtaining a cornea optimized topographic map according to the initial cornea topographic map; the model building module is used for building an evaluation auxiliary model of the orthokeratology lens according to the preset orthokeratology lens in combination with the optometry parameters, the corneal characteristics and the corneal optimized topographic map; and the model evaluation module is used for obtaining the orthokeratology lens which most meets the evaluation module according to the orthokeratology lens evaluation auxiliary model and the contact area of the cornea.

The application provides a corneal topographic alignment method based on Placido ring image and laser ranging fusion, belongs to the technical field of image processing of ophthalmic diagnostic equipment, and utilizes a single auxiliary sensor-free main camera to collect an RGB original image; a centering branch process and a focusing branch process are synchronously and in parallel executed on the same frame of RGB original image to solve XY axis centering deviation and Z axis focusing deviation; wherein the centering branch process adopts two sets of DCSA-Unet models with consistent architecture to sequentially complete coarse positioning of a pupil and fine positioning of a Placido inner circle; horizontal centering deviation threshold value, vertical centering deviation threshold value and focusing deviation threshold value are synchronously checked, and when the three deviations are all less than the corresponding preset threshold values, corneal image shooting is triggered; if any one of the deviations exceeds the threshold value, the position of the main camera is adjusted to re-collect the RGB original image. Thus, only by relying on single camera homologous image collection, three-axis full-automatic closed-loop alignment can be realized through a double-branch parallel algorithm combined with a lightweight DCSA-Unet network.

The invention provides an ICL postoperative corneal topographic map anterior segment tomogram generation method based on implicit space diffusion, which comprises the following steps: establishing a special implicit space coding-decoding framework, mapping a preoperative corneal topographic map / anterior segment tomogram to a low-dimensional implicit space, and combining preoperative image conditions in the implicit space to generate an anterior segment tomogram of an ICL postoperative corneal topographic map / anterior segment tomogram; the method comprises the following steps: learning a'preoperative-postoperative 'structured change rule through diffusion denoising training, inputting a new patient preoperative image based on a trained diffusion model, generating a visual postoperative corneal topographic map anterior segment tomography prediction result, outputting a complete prediction image, and providing a visual postoperative corneal morphology visual criterion. According to the ICL postoperative corneal topography anterior segment tomogram generation method based on implicit space diffusion, a high-dimensional preoperative image is mapped to a low-dimensional implicit space to be processed by constructing a special implicit space coding-decoding framework; the generation time of a single postoperative prediction image is greatly shortened to about 8.1 seconds from about 89 seconds required by a traditional pixel-level diffusion model.

This invention provides an intelligent method for customizing colored contact lenses based on AI technology and user physiological data, comprising three main stages: data acquisition, AI analysis and modeling, and design generation. In the data acquisition stage, the user's iris image is captured using the front-facing camera of a mobile terminal, and eye physiological parameters are obtained using a portable corneal topography instrument, while simultaneously recording the user's wearing habits and design preferences. In the AI ​​analysis and modeling stage, iris features are extracted using a ResNet50 network, combined with a health assessment system to generate personalized parameter suggestions. In the design generation stage, a GAN network is used to combine iris features with user preferences to generate natural and aesthetically pleasing colored contact lens patterns. This invention achieves personalized customization of colored contact lenses through intelligent algorithms, significantly improving the product's aesthetics and comfort while ensuring the user's eye health. This method is characterized by its ease of operation, high efficiency, and strong adaptability, providing a new technical solution for the intelligent customization of colored contact lens products.