3264results about "Othalmoscopes" patented technology

The invention belongs to the technical field of retina imaging and fundus three-dimensional reconstruction, and particularly relates to a color three-dimensional fundus imager optical system. Comprising a large eye objective lens, a dichroscope, a hollow reflector, a focusing lens, a spectroscope, a retina lens, a retina imaging chip, a fixation lens, a sighting mark lamp, an illumination lens, an annular light source, a pupil lens, a pupil imaging chip, an infrared lens, an infrared dodging lens, an infrared light source, a scanning lens, a three-dimensional galvanometer, a collimator, a coupler, a frequency sweeping light source and a dispersion compensator. A polarization controller, a coupler and a photoelectric detector. The system is mainly composed of a visible light imaging light path, an infrared imaging light path and a laser imaging light path, the visible light imaging light path is used for shooting color fundus two-dimensional images, the infrared imaging light path is used for real-time positioning and focusing of human eye pupils, and the laser imaging light path is used for three-dimensional tomography of retinas. The objective of the invention is to solve the problem that existing medical equipment cannot acquire fundus color three-dimensional images.

A surgical microscope lighting control system comprising a controller configured to: estimate or determine a lighting need of a surgeon during at least part of a surgical procedure based at least on a viewing status of a region of illumination, wherein the viewing status of the region of illumination is estimated or determined (a) based at least on whether or not the region of illumination is being displayed, or (b) based at least on tracking data of the surgeon or a head-mounted display; determine an adjustment to be made to an illumination provided by a lighting unit of a surgical microscope based on the lighting need; and in response to determining the adjustment, send a first signal to the lighting unit to change the illumination according to the adjustment.

The invention belongs to the technical field of fundus imaging, and discloses an ultra-wide-angle ellipsoid confocal laser scanning fundus imaging system, which comprises a light splitting module, a light condensing module, a scanning module, a transmitting mirror group, an ellipsoid reflector and a detection module, wherein the center of the scanning module and the center of the transmitting mirror group are located on the same optical axis A, the pupil of the human eye is located at the first focus of the ellipsoidal reflector, and the entrance pupil of the transmitting mirror group is located at the second focus of the ellipsoidal reflector; and the transmitting lens group comprises a movable focusing lens and is used for changing the position of a first image surface of light reflected by the retina of the human eyes when moving along the optical axis A so as to realize clear imaging of the retina of the human eyes with different diopters. Under the condition that a free-form surface is not introduced, ultra-wide-angle multi-wavelength confocal laser scanning fundus imaging with the single intraocular field angle of 200 degrees is achieved, and the full-field optical resolution reaches 15 micrometers. And by moving the focusing lens, imaging compensation can be carried out on human eyes with diopters of-15D to + 15D.

An ophthalmic imaging system provides an automatic focus mechanism based on the difference of consecutive scan lines. The system also provides of user selection of a focus point within a fundus image. A neural network automatically identifies the optic nerve head in an FA or ICGA image, which may be used to determine fixation angle. The system also provides additional scan tables for multiple imaging modalities to accommodate photophobia patients and multi-spectrum imaging options.

The present application provides a medical image recognition method. The method includes obtaining a fundus image. A feature extraction model is invoked to extract features from the fundus image to obtain a fundus feature map. Once the fundus feature map is input into an attention mechanism model to obtain an attention-weighted feature map, a classification model is invoked to classify the attention-weighted feature map to obtain a target disease label of the fundus image. The present application also provides a method for training a medical image recognition model and an electronic device.

According to the OCT lesion simulation image generation method provided by the invention, each image in a B-scan image sequence generated by lesion fundus OCT point cloud data is segmented based on the gray difference of different physiological levels of the lesion fundus to obtain the volume data of each physiological level of the lesion fundus, and the volume data of each physiological level is subjected to three-dimensional reconstruction to obtain the OCT lesion simulation image. The method comprises the following steps: acquiring a hierarchical lesion fundus three-dimensional model, extracting a thickness change distribution diagram of a physiological hierarchy with lesion from the three-dimensional model, segmenting the thickness change distribution diagram, extracting a lesion position and performing down-sampling to obtain a lesion weight map for describing the shape and range of the lesion, and constructing a lesion database according to the lesion weight map; and applying the lesion weight map to the healthy fundus data to generate an OCT lesion simulation image. The lesion data stored in the method is small in size, and a large-scale local database is easy to construct; the generated lesion OCT image is visual and real, can be used for teaching and scientific research activities, and can be used as a training sample for deep learning.

The embodiment disclose a wearable augmented reality eyewear system including a frame supporting left and right transparent lenses. A plurality of outward-facing cameras mounted on the frame have overlapping fields of view for capturing real-time images of the environment. A plurality of inward-facing cameras integrated in the frame or lenses detect pupil size, pupil dilation, and gaze direction using infrared imaging. A digital processor analyzes gaze direction and fixation based on virtual grid coordinates, initiates an object or person recognition routine using images from the outward-facing cameras, and compares detected features with records in a database. At least one lens includes an AR projection system embedded therein and configured to superimpose data about the recognized object or person in the user's field of view. An audio speaker positioned near the user's ear outputs related audio. A wireless communication module enables real-time data exchange with a cloud-based platform.

In certain embodiments, a method for analyzing a retinal image of an eye for retinal disease includes conforming a contact portion of a patient interface to the surface of the eye. A camera stem is received by a sleeve of the patient interface. Light from the camera stem is directed by the sleeve towards the interior of the eye, and light reflected from the interior of the eye is directed by the sleeve towards the camera. Image data generated by the camera is output to a computer. Options representing actions that facilitate analysis of the retinal image are displayed at the computer. The retinal image is displayed at the computer according to the image data. A selection of an option is received by the computer. The action represented by the option is performed by the computer to facilitate analysis of the retinal image.

Methods and apparatus for quantifying an injected volume in an area of tissue during a medical procedure. In one example, a method includes determining a pixel-to-size scale parameter based on a pixelated image of a reference object included in a FOV of an optical instrument configured to perform volumetric imaging, the FOV further including an injection site; computing a first 3D model of the injected volume in the area of tissue based on a volumetric image of the FOV obtained using the optical instrument; refining the first 3D model to obtain a second 3D model of the injected volume, the refining including correcting a shape and a size of the first 3D model to reduce distortions associated with light refraction at a boundary of the injected volume in the area of tissue; and calculating a value of the injected volume based on the second 3D model and further based on the pixel-to-size scale parameter.

Systems and methods for ophthalmic disease detection and risk assessment that combines digitally-augmented examination instruments with neural networks trained to analyze examination imagery across diverse patient populations and variable image qualities, enabling automated analysis and classification of eye conditions during routine clinical examinations.

The invention belongs to the technical field of medical image analysis, and discloses a diabetic retinopathy grading model system using a frequency domain attention mechanism, which comprises a data set construction module, a data preprocessing module, an evaluation index module, a feature extraction module, a frequency domain channel attention module and a frequency domain space attention module. The invention provides a DR grading model based on deep learning, and aims to more accurately identify and classify lesions in fundus images. By introducing a frequency domain channel attention module (FCAM) and a frequency domain space attention module (FSAM), the model can more effectively capture weak lesion features. FCAM improves the sensitivity of a model to a lesion area by fusing frequency domain and channel domain information; according to the FSAM, key pixels are emphasized in a spatial domain and a frequency domain, so that the extraction capability of the model on fine texture features is enhanced.

Systems and methods for retinal imaging are provided. A heads-up display (HUD) can be integrated with advanced retinal imaging modalities, including optical coherence tomography (OCT) and fundoscopy (e.g., fluorescence fundoscopy). The HUD can serve as a crucial component of this approach, offering several key functionalities (e.g., a fixation target and / or a means for dark adaptation).

The invention discloses an all-in-one eyeball comprehensive parameter measuring instrument and a method for measuring eyeball parameters by using the same. The measuring instrument comprises a signal light source, a signal light source sample arm, a signal light source reference arm, a scale light source, a scale light source sample arm, a scale light source reference arm, an annular light source, a telecentric lens, a zoom lens group and the like, the instrument can measure biological parameter information of human eyes, corneal curvature and eyeball diopter at the same time. The device is scientific and reasonable in design, and has the advantage that the curvature, the diopter and the biological parameters of the human eyes can be simultaneously measured at one time under the non-contact and non-invasive conditions.

The present invention relates to a portable device (100) for ocular diagnostic and disease detection in non-invasive manner, the device (100) comprises an image capturing module (10) positioned at a first end of the device (100), the image capturing module (10) captures high resolution images of patient's eye, an illumination module (20) configured to encompass the image capturing module (10), the illumination module (20) provides uniform illumination on the patient's eye, at least one auxiliary part removably coupled with the illumination module (20) by a plurality of mounting provisions (23) provisioned on the illumination module (20).

A modular ophthalmology device comprising: a first optical device having a light source and an imaging sensor, a first input coupling having an optical interface connection and a physical interface connection for aligning and securing an input optical module, a first optical output, an optical pathway and an output coupling securing a third optical device.

The invention relates to an apparatus (1) and method for automatically determining the blood flow direction (42) in a blood vessel (14) using the fluorescence light from a fluorophore (16). Blood flow direction (42) is determined by first identifying a blood vessel structure (38) in an input frame (6) from a camera assembly (2) using a pattern recognition module (26). Blood flow direction (42) is determined from the spatial gradient (dl / dx) of the fluorescence intensity (I) along the identified blood vessel structure (38) and the temporal gradient (dl / dt). An output frame (48) is displayed on a display (36) with time-varying marker data (52) overlaid on the identified blood vessels structure (38) and representative of the blood flow direction (42).

A color checker device is disclosed. The color checker device includes a substrate configured to be inserted into a model eye and to conform to a surface curvature of the model eye when inserted therein. A color test target is located on the substrate. The color test target comprises a plurality of color sections configured for generating a color characterization profile of a fundus imaging camera configured to capture a color image of a human retina. A method of generating a color characterization profile using the color checker device and a fundus imaging system having the color characterization profile stored thereon are also disclosed.

The invention discloses a parallel imaging OCT (Optical Coherence Tomography) system based on a metasurface area array, which relates to the technical field of medical instruments, is small in size and can realize intraocular single-shot area array imaging and a three-dimensional position depth perception function by using metasurface and optical coherence tomography imaging information in a sample tissue with a limited size. According to the technical scheme, a light beam emitted by a laser is divided into two paths through a beam splitter, and the two paths enter a sample arm module and a reference arm module respectively; the sample arm module is a probe and comprises a multi-core optical fiber and a first metasurface; the reference arm module comprises a collimator, a motor and a right-angle reflector; the probe enters a sample tissue, a light beam is focused on the sample tissue and then is backscattered, the backscattered light beam reversely passes through the first metasurface, the multi-core optical fiber, the beam splitter, the second metasurface, the third lens, the grating and the focusing lens and then forms a spectral line beam on the CCD sensor, and the computer reads a signal from the CCD sensor and performs three-dimensional reconstruction imaging on the sample tissue.

The invention discloses a personalized myopia prevention and control single-spectrum irradiation optimization system, and the key points of the technical scheme are that the system comprises the following steps: 1, collecting basic data: collecting the individual basic data of a user, and enabling the individual basic data to reflect the inherent features of the eyes of the user and the basic state of myopia; step 2, collecting real-time associated data: collecting the real-time associated data of the user, wherein the real-time associated data reflects the myopia progress dynamic state of the user and a daily eye use scene; step 3, initial single-spectrum irradiation parameter generation: initial single-spectrum irradiation parameters adapted to the user are generated based on individual basic data and real-time associated data, and the initial single-spectrum irradiation parameters comprise irradiation wavelength, irradiation intensity, single irradiation duration and irradiation time period; 4, collecting eye safety data: executing single-spectrum irradiation according to the initial single-spectrum irradiation parameters, and collecting the eye safety data of the user in real time; the prevention and control effectiveness can be improved, and the individual difference problem is solved.

An imaging device for capturing images through an eyepiece of an optical viewing device. The imaging device includes a camera that aligns with the eyepiece for capturing the images viewed through the eyepiece, and a display for displaying the images captured by the camera. The imaging device determines a type of the optical viewing device. The imaging device presents a workflow on the display based on the type of the optical viewing device. The imaging device captures metrics related to user interactions with the workflow presented on the display and the images captured by the camera during the workflow.

The utility model relates to the field of slit lamp microscopes, in particular to a slit lamp. Comprising a lifting placement table, a face fixer, an illumination tower, a control base, a micro-motion platform, an image acquisition unit and a display, the micro-motion platform is arranged on the tabletop of the lifting placement table; the illumination tower and the image acquisition unit are rotationally arranged on the micro-motion platform, the rotation axes of the illumination tower and the image acquisition unit are the same, and the illumination tower and the image acquisition unit are kept relatively static; the image acquisition unit is used for acquiring an eye image of a detector; and the display is connected to the lifting placement table, electrically connected with the image acquisition unit and used for displaying the target image. According to the utility model, the collected eye image of a patient can be displayed on the display, so that a user can use the device more conveniently and comfortably. In addition, the image acquisition unit can also have an image recognition function, so that the eye condition of the patient can be automatically judged according to the image, which is more efficient and accurate.

The invention provides a measuring method of a non-contact intraocular pressure instrument and the non-contact intraocular pressure instrument. The measuring method of the non-contact intraocular pressure instrument comprises the following steps: acquiring a first human eye image in the XY direction and a second human eye image in the Z direction of an examined eye; identifying the first human eye image according to a pupil identification method and a positioning light spot detection method to determine the pupil of the detected eye and the mass center of the pupil contour; identifying a cornea bright line of the second human eye image according to a cornea bright line detection method so as to determine a cornea vertex of the detected eye; performing XY-direction positioning adjustment based on the pupil and the center of mass of the pupil contour, and performing Z-direction positioning adjustment based on the cornea vertex and the calibration point in the Z direction; in response to the completion of the XY-direction positioning adjustment and the Z-direction positioning adjustment, blowing air to the examined eye to obtain a cornea deformation image shot by the high-speed camera sensor; and determining the intraocular pressure value of the examined eye based on the cornea thickness and the cornea curvature determined by the cornea deformation image and the pressure change curve of the blowing air cavity.

An apparatus and method for aiding in the detection of dementia, concussion, other neurologic conditions, retinal, and optic nerve conditions. The apparatus enables the diffusion coefficient of the tissue to be ascertained and studied by directing the light from a laser or other coherent light source at the patient's retina, optic nerve or choroid and measuring the fluctuations in the intensity of the back-scattered light caused by the movement of light scatterers in the tissue. By comparing the measurements to a normal database, or to the subject's previous measurement, in combination with an eye examination and OCT image / measurement the changes caused by the disease and the effectiveness of therapy can be ascertained. The disclosed apparatus allows the incident and detection optics to be attached to ophthalmic devices typically used in ophthalmologic care. Also, where both the incident laser fiber optic and the detection fiber optic are directly connected to goggles, one or more or all of the above-described mirrors may not be necessary, as both fiber optics are preferably directly directed into the eye.

A monocular and / or a binocular system may be used to generate one or more images, or videos, of a subject's retina by scanning in one or two directions in one or two dimensions to, for example, measure and / or report fixation, smooth pursuit, and / or saccadic responses of the subject's eye. The scanning and / or image generation process may be optimized to correct for distortions in the subject's eye and / or improve SNR among one or a plurality of retinal images. In some cases, the retinal images may be used to train a retinal feature detection model and / or algorithm that may be used to make predictions and / or inferences regarding a visual pattern showing features of subsequently received retinal images. These models and / or predicted patterns present within the models may be used by the retinal feature detection model and / or algorithm to monitor features of the retina and, in some instances, track voluntary and / or involuntary eye motion.

To provide an image analysis system which performs screening of diabetic retinopathy from a fundus image.SOLUTION: A diagnosis support device has: a specification unit for specifying a blood circulation abnormal region in a fundus image, which is an image of the fundus, by using a learning model obtained by learning a relation between the fundus image and the blood circulation abnormal region in the fundus image, on the basis of the fundus image and the blood circulation abnormal region specified on the basis of a fluorescence contrast image of the fundus; and an output unit for outputting information indicating the blood circulation abnormal region, in a patient's fundus image, that has been specified by the specification unit by using the patient's fundus image and the learning model.SELECTED DRAWING: None

Examples relate to a system (110), method, and computer program for an ophthalmic microscope system, and to a corresponding ophthalmic microscope system. The system is configured to obtain imaging sensor data from an optical imaging sensor (122) of a microscope of the ophthalmic microscope system. The system is configured to determine information on an anatomical feature of an eye shown in the imaging sensor data. The system is configured to control an illumination system (130) of the ophthalmic microscope system to adjust a property of a light beam used for red reflex illumination of the eye based on the information on the anatomical feature.

A method and system for the use of multi-spectral retinal images to achieve an effective, efficient, and AI enabled automated retinal disease biomarker detection using biomarker identification, segmentation, and quantification. A plurality of digital multi-spectral images of a retina of a patient at a plurality of illumination wavelengths can be done using a multi-spectral ophthalmoscope. The images can then be registered, processed, and assessed to automatically quantifying one or more biomarker based on the location and size of the biomarker in the plurality of processed multi-spectral images.

The utility model relates to the field of fissure light adjusting equipment, in particular to a fissure light adjusting wheel disc and a fissure light adjusting device. Comprising a circular bottom plate and an annular side wall arranged along the edge, and at least one clamping groove is formed in the inner side of the annular side wall; an adjusting end in the gear adjusting module elastically abuts against the inner side of the adjusting wheel disc. The clamping groove comprises a main limiting groove and two guide-in sub-grooves, the groove depth of the guide-in sub-grooves is gradually increased from the end away from the main limiting groove to the end connected with the main limiting groove, and the minimum groove depth of the main limiting groove is larger than the maximum groove depth of the guide-in sub-grooves. The clamping groove is formed in the inner side wall of the adjusting wheel disc, and the depth of the clamping groove conforms to the rule of changing from shallow to deep and then changing from shallow, so that when the adjusting end passes through the clamping groove, the phenomenon that friction force changes from large to small and then becomes large can occur, and then a rotating hand feeling corresponding to the changing rule is provided; therefore, a user can determine the gear shifting position by means of hand feeling, and use is convenient.

The invention discloses an imaging method of a fundus camera and a portable fundus camera, and relates to the field of ophthalmology detection, and the method comprises the steps: collecting an eye image of a target object, and determining the identity information of the target object according to the eye image; acquiring historical detection data of the target object according to the identity information; when it is determined that the eyes of the target object are in a preset detection action according to the eye image, obtaining an infrared preview image; determining a first focal length of the target object under the infrared light irradiation condition according to the infrared preview image; determining a second focal length of the target object under the condition of white light irradiation according to the first focal length and historical detection data; and acquiring an eye fundus image of the target object by taking the second focal length as focusing setting information. By implementing the method, the focusing and image acquisition efficiency of the fundus camera can be improved.

The invention relates to a full-automatic slit lamp and an intelligent diagnosis method thereof, and aims to improve the ophthalmic examination efficiency and accuracy. The slit lamp is composed of a slit lamp device, an automatic adjusting device and a man-machine interaction device. The automatic adjusting device comprises a calculation module and an adjusting module, and the adjusting module accurately drives the slit lamp device through gear transmission and automatically adjusts operation parameters according to a preset mode. The display module of the man-machine interaction device can display the working mode, the eye image data and the interaction information, and the prompt module guides the examinee to cooperate with the examination. The camera element of the slit lamp device converts the light into image data, and the communication device transmits the data to the cloud. And during fault diagnosis, the calculation element monitors image data in real time, marks abnormities through a visual algorithm, and enters a diagnosis mode. After different modes are operated for multiple times, the calculation unit analyzes imaging result abnormity, accurately locates and displays fault components, realizes automatic fault diagnosis, and reduces maintenance cost.