7 results about "Corneal topography" patented technology

The invention discloses an orthokeratology parameter optimization method and system, a medium and a product, and relates to the technical field of data processing. By implementing the method, the system is optimized to obtain the corneal topographic maps of the patient before and after the standardized mechanical stress is applied, and point-to-point comparison is carried out, so that the corneal dynamic response deformation map for quantifying actual corneal deformation is obtained. The individualized corneal shaping response coefficient calculated based on the corneal dynamic response deformation map objectively reflects the sensitivity of the cornea of the patient to the mechanical stress. Different from related technologies which only depend on static data and empirical formulas, the method has the advantages that the orthokeratology lens parameter set is subjected to targeted correction through the individualized orthokeratology response coefficient, on one hand, the shaping effect deviation caused by the difference of individual cornea biomechanical characteristics (such as elasticity and viscosity) can be corrected, and on the other hand, the orthokeratology lens parameter set can be corrected; and on the other hand, a finally generated personalized orthokeratology lens parameter set can be more predicated and matched with an actual orthokeratology result.

The invention belongs to the field of laser processing, and discloses a visual axis center automatic alignment system, device and method. The system comprises an imaging module used for obtaining a corneal topographic map; the adjusting module is used for S1, determining deflection angles of the visual axis around the x axis and the y axis according to the corneal topographic map; generating primary scanning track data according to the corneal topographic map and preset micro-lens parameters; performing three-dimensional rotation transformation on the primary scanning track data; s2, segmenting the three-dimensional point cloud data obtained in the S1 into slice point cloud data of different z-axis planes, performing fitting to obtain each layer of fitting elliptical trajectory, and judging light emitting point information on the fitting elliptical trajectory; and generating a plurality of concentric elliptical trajectories according to each layer of fitting elliptical trajectory and the light emitting point information, and forming a shape envelope of a preset micro lens. According to the system, one-time scanning track data is resampled and fitted, motion compensation of the eyeball off-axis is achieved, and therefore the precision and effect of automatic alignment of the visual axis center are improved.

The invention provides a corneal curvature determination method and device for intraocular lens degree calculation of an eye after an LASIK operation and electronic equipment, and relates to the technical field of medical data processing, and the corneal curvature determination method comprises the following steps: obtaining a corneal topographic map; extracting data points of the axial curvature of the front surface of the cornea based on the corneal topographic map, and screening out all curvature data points in a first diameter circular area from the data points of the axial curvature of the front surface of the cornea; calculating a curvature average value of two intersection points of the flat axis and the edge of the target area as a flat axis diopter, and calculating a curvature average value of two intersection points of the steep axis and the edge of the target area as a steep axis diopter; based on the steep axis diopter and the flat axis diopter, the intraocular lens degree of the LASIK postoperative eye is calculated. According to the method, the axial curvature data of the front surface of the cornea is smoothed, a K value calculation method is improved based on delimitation of a target area and an effective optical area, and system errors of IOL calculation are reduced.

The embodiment of the present application provides a kind of based on deep learning's corneal local crosslinking irradiation position determination method and device, the method comprises: obtaining the corneal topographic image of target object;The corneal topographic image is carried out block segmentation, obtain multiple image block regions;Respectively, image block region is input to the preset image classification model, determines the corneal protruding region and non-protruding region of each image block region;Based on preset constraint condition, the image segmentation of corneal protruding region and non-protruding region is carried out, determines the irradiation position of target object's corneal local crosslinking.The embodiment of the present application carries out the division of corneal protruding region and non-protruding region to the corneal topographic image after block segmentation by image classification model, and by increasing preset constraint condition, the image segmentation of corneal protruding region and non-protruding region is realized, to more accurately determine the irradiation position of target object's corneal local crosslinking, guarantee the realization of corneal local crosslinking.

Embodiments of the present application provide a method, device and equipment for determining corneal cross-linking irradiation position, and a storage medium. The method comprises: obtaining a corneal topographic image of a target object, and determining a corneal microelement surface according to the corneal topographic image; forming a projection microelement of the corneal microelement surface on a preset reference plane, and determining a correlation between each projection microelement in the projection microelement surface; and determining a corneal local cross-linking irradiation position according to the determined correlation. The present application determines the corneal microelement surface by obtaining the corneal topographic image of the target object, and determines the corneal local cross-linking irradiation position of the target object by the correlation between each projection microelement in the projection of the corneal microelement surface on the preset reference plane, so as to ensure the realization of the corneal local cross-linking by using a more accurate corneal local cross-linking irradiation position.

Modular Hardware & Radius Measurement Modular attachment system for a portable handheld device for optometric diagnosis, characterized by an optical unit for measuring the radius of the cornea (topography), wherein the projection unit is optionally designed as a point array, as a Placido ring system or as a combination thereof.

The invention discloses a keratoconus element learning diagnosis method under an unbalanced small sample condition. The method comprises two parts of model training and auxiliary reasoning. According to the model training part, firstly, an acquired corneal topographic map is preprocessed and labeled, and then a meta-learning task ensuring complete categories is constructed by adopting a balance task sampler. And a pre-trained Swin Transform is used as a feature extractor to acquire the multi-scale depth features of the image. A plurality of prototypes are generated for early keratoconus categories with high diagnosis difficulty by using K-means clustering, and other categories are uniformly grouped. Classification is completed by calculating the distance between a query sample and a prototype and carrying out probability aggregation, and meta-learning optimization is carried out by adopting a joint loss function combining enhanced focus loss and contrast learning loss. And the auxiliary reasoning part is used for extracting input image features by using the trained model, comparing the input image features with the learned prototype, and outputting a diagnosis category and confidence. According to the method, the auxiliary diagnosis accuracy and generalization ability of the keratoconus are remarkably improved.