10 results about "Extraocular muscles" patented technology

The invention provides a three-dimensional medical image segmentation method and system for thyroid-related eye diseases, and is applied to the technical field of data processing. Multi-modal medical image data, a coarse-grained segmentation result and a fine-grained segmentation result are obtained, the multi-modal medical image data comprise a CT image and an MRI image, the multi-modal medical image data are preprocessed, a fused image body is generated, and the fused image body is formed by registration and feature fusion of the CT image and the MRI image; processing the fused image body and the coarse-grained segmentation result to generate a fine segmentation result; processing the fine segmentation result to generate a preliminary segmentation mask; processing the preliminary segmentation mask and the multi-modal medical image data to generate a mixed loss function; and processing the preliminary segmentation mask, the mixed loss function and the extraocular muscle attachment point position based on a dynamic post-processing strategy to generate a final segmentation result.

The present invention provides an ophthalmic composition that can directly reach the extraocular muscles and treat or prevent their fatigue. [Solution] An ophthalmic composition containing one or more compounds selected from the group consisting of azulene sulfonic acid, cyanocobalamin, and salts thereof, wherein the compounds reach the extraocular muscles. An ophthalmic composition containing one or more compounds selected from the group consisting of azulene sulfonic acid, cyanocobalamin, and salts thereof, used for the treatment and / or prevention of fatigue of the extraocular muscles.

The strabismus demonstration model comprises a head model and an eyeball model assembly, the head model is provided with eye sockets, the eyeball model assembly is installed in the eye sockets and comprises eyeball beads and extraocular muscle simulation assemblies, the eyeball beads are connected with the extraocular muscle simulation assemblies, and the extraocular muscle simulation assemblies are connected with the eyeball beads. The eye muscle simulation assembly comprises six elastic rubber strips, a large fixing ring and a small fixing ring, real eye muscles are simulated through the six rubber strips, and various strabismus conditions can be simulated by adjusting the rubber strips at corresponding positions. According to the strabismus demonstration model, the head model and the eyeball model assembly are arranged, the eyeball model assembly comprises the six elastic rubber strips, the large fixing ring and the small fixing ring, real eye muscles are simulated through the six rubber strips, and various strabismus conditions can be simulated by adjusting the rubber strips at the corresponding positions; therefore, strabismus formation and treatment effects can be visually displayed, and doctors, patients and family members of the doctors, the patients and the family members of the doctors can conveniently understand complete extraocular muscles and strabismus surgery principles.

The application relates to the technical field of knowledge graph, and particularly provides a strabismus three-dimensional mapping method and system based on a knowledge graph, which comprises the following steps: taking a starting point space coordinate, a patient corneal reflection point offset and an eyeball rotation center coordinate as attribute values of an entity node, establishing a directed connection edge between nodes according to a fixed attachment relationship between muscles and eyeballs and between muscles and bone walls in anatomy, and constructing an initial heterogeneous graph by all entity nodes and the directed connection edge; weighting and aggregating attribute values of neighborhood nodes connected by the directed connection edge of each node in the obtained initial heterogeneous graph to obtain an aggregated feature vector of the node; and mapping all node coordinates in each obtained sub-graph to a unified three-dimensional coordinate system, and adjusting the relative positions between the sub-graphs so that all positioning base points are located on a plane. The application realizes systematic mapping and pathological posture analysis of three-dimensional space configurations of eye external muscles of a strabismus patient.

Provided is a method for loading a muscle stem cell exosome with a Notch activator and a senolytic drug, fisetin, that is capable of targeting and killing senescent cells, and further with lutein that has an eye protection effect, such that senescent muscle cells can be eliminated while the regeneration of muscle stem cells is promoted. By means of high-activity stem cell separation and culture technology, combined with exosome large-scale preparation and separation technology, simple and low-cost exosome drug-loading technology, senescent cell targeted clearance technology, etc., the present invention effectively helps to ameliorate the problems of extraocular muscle aging and atrophy, and can be widely applied to the damage repair of various muscle tissues. The present invention provides a new option for ameliorating the symptom of degeneration of extraocular muscle function, and has outstanding advantages in terms of safety, biocompatibility, and effectiveness.

The present application relates to a kind of deep learning method based on SPECT / CT detection thyroid-related eye disease activity, including two stages of eye muscle segmentation stage and activity staging classification, in the eye muscle segmentation stage, first, the CT image of eye is three-dimensional reconstruction, and training eye muscle semantic segmentation model, finally using the eye muscle segmentation model of well-trained in test set eye muscle mask;In the classification stage of judging whether thyroid-related eye disease is in active period, three-channel data are formed by using eye muscle mask, SPECT and CT image, and three-channel data are used to train classification model, SPECT / CT image and the eye muscle mask of patient are combined into three-channel image and input into classification model, and finally the activity of thyroid-related eye disease is output by the trained classification model.Through the deep learning method of two stages, the activity of thyroid-related eye disease is automatically classified.

The invention relates to the field of eye health, especially to devices and methods for extraocular muscle training.Extraocular muscle training device (1) comprises a laser device (2) configured to generate a laser beam (3), a manipulator (4) connected to the laser device (2) and configured to move the laser device (2) so that the laser point (33) of the laser beam (3) generated by the laser device (2) can be moved around onto the surface (9) in a predetermined pattern (10). During its use, the device (1) is positioned in proximity of the user (11); the laser beam (3) is generated onto a surface (9; 19) within the range of the vision field of the user (11); and the laser point (33) of the laser beam (3) is positioned in a predetermined pattern (10) so that the eyes of the user (11) may track the laser point (33).

The utility model discloses a kind of eye extraocular muscle shortening precision positioning auxiliary suture forceps, it is related to medical instrument technical field, including lower tongs head (1), upper tongs head (2), tongs neck (3), shaft connection fixed buckle (4), shaft connection surface (5), tong leg (6), tong leg adjusting assembly (7) and tongs handle part (8);The bottom end of lower tongs head (1) and upper tongs head (2) is connected to be arranged on the upper end of tongs neck (3), the lower end of tongs neck (3) is connected with the upper end of tong leg (6), shaft connection surface (5) is set in the shaft part position of the upper end of tong leg (6), shaft connection fixed buckle (4) is fixed on shaft connection surface (5), two tong legs (6) are connected by shaft connection fixed buckle (4), the lower end of tong leg (6) is connected with tongs handle part (8), tong leg adjusting assembly (7) is set in the bottom of two tong legs (6).The suture forceps significantly improve the accuracy of new muscle insertion site positioning in eye extraocular muscle shortening surgery, and can also simplify the suture operation steps and reduce the difficulty of surgery.

The utility model provides an adjustable eye muscle pull hook relates to ophthalmic surgical instrument field, including screw rod, measuring tape and fixed in the screw rod's distraction assembly, the distraction assembly includes the screw cap fixed in screw rod one end and the adjustment knob of screw thread fixed on screw rod, still include the support frame fixed on the screw cap and the moving support of rotation fixed on the adjustment button, the moving support and support frame cross connection have two support rods, and the support rod is rotation fixed on the moving support and support frame respectively, the support rod bottom is equipped with the cross hook. With this, the manpower is lightened, and the stable fixing and accurate measurement are provided. With this, the problem that the operation is inconvenient and is not fixed firmly is avoided.

The invention is suitable for the technical field of eye movement training, and provides an eye movement training evaluation method and an eye movement training evaluation device.The method comprises the steps that in the eye movement training process, an electro-oculogram signal of a user is obtained; based on the electrooculogram signal, determining a target eye movement frequency band of the user, the target eye movement frequency band being a rapid eye movement frequency band of the user; determining a first power spectral density of the electrooculogram signal in the target eye movement frequency band; based on the first power spectral density, the extraocular muscle movement intensity of the user is determined, the extraocular muscle movement intensity refers to the contraction intensity of the extraocular muscle of the user, and the extraocular muscle movement intensity reflects the extraocular muscle state of the user. According to the invention, the problems of poor real-time performance, insufficient objectivity and the like of eye movement training effect evaluation can be solved.