145 results about "Fundus camera" patented technology

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 techniques described herein relate to systems, apparatus, articles of manufacture, and methods for gaze angle triggered fundus imaging. An example method includes detecting a pupil of a subject in a stereo image, controlling at least one actuator to align an imaging path of a fundus camera with the pupil after detecting the pupil in the stereo image, and capturing a fundus image of a retina of the subject at a gaze angle after determining that the pupil is oriented towards a target direction based on the gaze angle associated with the pupil in the image.

The invention provides an eye fundus image processing method and device. The method comprises the following steps: acquiring a plurality of fundus strip-shaped images through a fundus camera; taking adjacent fundus strip-shaped images as a group of images to be processed; determining an overlapping region and a non-overlapping region of each group of images to be processed; determining a pixel value of a target position of an overlapping region of each group of images to be processed in each fundus strip-shaped image in the group of images to be processed, determining a pixel value of the target position of the overlapping region according to the pixel value in each fundus strip-shaped image, and obtaining a target overlapping region according to the determined pixel value; and splicing each group of non-overlapping regions and the target overlapping region according to the scanning information to obtain an eye fundus image. In the mode, effective brightness information can be fully utilized, so that splicing stripes in the horizontal direction are eliminated or greatly weakened.

The invention provides a fundus camera system integrated with adaptive optics and a correction method, and relates to the technical field of ophthalmology imaging. The fundus camera system comprises a beacon light source, an imaging light source and an imaging sensor; the device comprises a wavefront sensor, a wavefront correction device and a control module, and the wavefront correction device comprises a focusing lens group and a deformable reflector; the focusing lens group and the deformable reflector are arranged in the same light path from the beacon light source to human eyes and from the human eyes to the wavefront sensor; moreover, the control module executes a two-step closed-loop control strategy of first focusing and second correction: firstly, based on a first measurement result of the wavefront sensor, the focusing lens group is driven to move so as to compensate low-order aberration; and after the focusing is completed, the deformable reflector is driven to deform based on the subsequent measurement result of the wavefront sensor so as to compensate the high-order aberration in a closed-loop manner. On the basis of inheriting the advantage of rapid focusing in the prior art, the self-adaptive optical technology is further integrated, so that the limitation of high-order aberration on resolution is solved.

The invention provides a three-dimensional eyeball form noninvasive evaluation method and system based on multi-modal fundus features, and relates to the technical field of medical image analysis, and the method comprises the steps: obtaining a color fundus image through a non-contact fundus camera, and collecting the equivalent spherical power, age and gender data of a patient; segmenting the image by using a U-Net network, extracting various geometric and blood vessel features, correcting the image and normalizing data; eliminating diopter interference by adopting a mixed effect linear regression model, and screening target features; related parameters are calculated based on the MRI image, and a deep learning model is used for training prediction; inputting to-be-evaluated data to obtain a result, evaluating the myopia complication risk according to the result, and providing personalized eye health management suggestions. According to the method, through combination of multi-mode fundus feature analysis and deep learning, non-invasive, low-cost and high-precision three-dimensional eyeball shape evaluation is realized, the myopia complication risk can be effectively predicted, and a personalized eye health management scheme is provided.

The utility model discloses a fundus camera convenient to adjust a chin rest, which comprises a base, the upper surface of the base is fixedly connected with two supporting columns, the top ends of the two supporting columns are fixedly connected with a supporting plate together, the upper surface of the supporting plate is fixedly provided with a fundus camera body, the upper surface of the base is provided with a groove, and the upper surface of the groove is provided with a clamping groove. And a positive and negative rotation motor is fixedly mounted on the inner side wall of the groove. According to the device, firstly, the electric push rod is arranged, the electric push rod can drive the cheek supporting frame body to ascend and descend, so that a worker can conveniently adjust the height of the cheek supporting frame body, and then the positive and negative rotation motor is arranged and can drive the threaded rod to rotate; in this way, the threaded block can drive the connecting block and the sliding plate to slide front and back through rotation of the threaded rod, the electric push rod and the chin rest body can be driven to slide front and back through the sliding plate, and therefore a worker can conveniently adjust the front-back position of the chin rest body.

The application provides an ophthalmic image diagnosis method and system based on multi-modal imaging cooperation, and relates to the technical field of medical image diagnosis. First, the OCT, fundus camera and ultrasonic original image data of an ophthalmic examination object are acquired, and multi-modal dynamic correlation mapping results are obtained through dynamic correlation and trend correlation processing. Cross-modal lesion feature progressive mining and interactive verification are performed to obtain a cross-modal lesion correlation feature set. Multi-modal cooperative diagnosis reasoning and weight feedback optimization are used to generate an ophthalmic disease reasoning result containing disease types, lesion dynamic distribution and reasoning confidence. Finally, an ophthalmic diagnosis report with dynamic labeling and confidence explanation is generated. The application comprehensively utilizes the advantages of various image technologies to improve the accuracy of ophthalmic image diagnosis.

The present invention provides a method and apparatus for processing fundus images. Among them, the method includes: collecting a plurality of fundus strip images through a fundus camera; taking adjacent fundus strip images as a group of images to be processed; determining the overlapping area and non-overlapping area of each group of images to be processed; determining the pixel values of the target position in the overlapping area of each group of images to be processed in each fundus strip image, determining the pixel value of the target position in the overlapping area according to the pixel values in each fundus strip image, and obtaining the target overlapping area according to the determined pixel values; splicing each group of non-overlapping areas and the target overlapping area according to the scanning information to obtain a fundus image. In this way, effective luminance information can be fully utilized, thereby eliminating or significantly reducing the splicing stripes in the horizontal direction.

The application discloses a fundus photograph classification system based on deep mutual learning. The application fuses two kinds of anomaly detection algorithms of Ganomaly and FastFlow, constructs a detection model which is adaptive and robust to various eye diseases, effectively solves the problem that artificial intelligence cannot be used for intelligent diagnosis of a disease due to the lack of abnormal samples of the disease in practical application, improves the universality and accuracy of the disease detection model, saves the precious time of doctors, and improves the diagnosis efficiency of patients. In addition, the detection method can be applied to a fundus camera, and the device plays a great role in the initial screening stage of eye diseases. With slight cost, the device solves the problem that early eye diseases of patients are difficult to be found due to objective reasons such as insufficient medical resources and lack of experienced doctors, and truly helps community and primary hospitals to realize early discovery, early diagnosis and early treatment, so that the tragedy of blindness caused by delayed treatment due to late discovery is avoided.

An ophthalmic apparatus comprises a visible light illumination channel, which illuminates a retina of an eye of a patient under examination by visible light. A near-infrared illumination channel illuminates the retina of the eye of the patient under examination by near-infrared light. An imaging channel receives light from the retina of the eye illuminated by the visible light and / or the near-infrared light. A target channel outputs fixation image content to a patient whose eye is under the examination for fixation of a gaze direction of the patient. An alignment arrangement illuminates the anterior part of the eye and reflections therefrom are received by two of a fundus camera sensor and a first and second pupil camera sensors. A data processing unit determines an optimal positional alignment of the eye for imaging a fundus of the eye by a fundus camera sensor based on still image and / or video capture of the anterior part of the eye.

The 8K stereoscopic microscope comprises a super lens, a 4K stereoscopic fundus camera, a data transmission and storage unit, an AI artificial intelligence image processing unit and 8K binocular AR glasses. The super lens is used for a stereo fundus camera optical system, and the size of the optical system is reduced while high-quality images are obtained. The 4K stereo fundus camera is used for observing a fundus area and collecting high-definition fundus images according to needs. The data transmission and storage is used for image acquisition, transmission and storage; aI artificial intelligence image processing is used for image processing and enhancement to obtain a three-dimensional fundus image; the 8K binocular AR glasses are used for displaying high-definition stereo images. The system has the advantages of being compact in structure, wide in view field, high in definition, vivid in color and intelligent and convenient to operate, operation of AI artificial intelligence algorithms such as deep learning is supported, fundus image collection at any time, any place and any mode can be achieved, the requirements of the medical field for high-quality imaging and accurate diagnosis are met, and the system is suitable for popularization and application. And medical scientific research and clinical diagnosis development are promoted.

The invention relates to the technical field of pupil positioning, in particular to a eyeground examination pupil positioning system based on yov8 target detection. The pupil detection algorithm based on the yov8, the phase detection automatic focusing algorithm and the fundus examination robot cooperate with one another, full-automatic fundus examination can be achieved, namely, fundus examination can be conducted on a patient without operation of medical staff, and even self-service fundus examination of the patient can be further achieved. A patient only needs to turn on or turn off the system by himself without other operations, then the head is placed on the head fixing frame, the fundus examination robot can move the fundus camera to conduct pupil positioning under assistance of a myov8-based pupil detection algorithm, a phase detection automatic focusing algorithm is called to conduct automatic focusing, and the front auxiliary work of fundus examination is completed; afterwards, the system controls the fundus camera to shoot, and the whole process automation from positioning to shooting inspection is achieved.

The utility model discloses a lens clamping ring structure and a fundus camera, relates to the technical field of optical lenses and precision assembly, and discloses a lens clamping ring structure, which comprises a first eyepiece lens, a second eyepiece lens and an eyepiece group space ring, the first eyepiece lens, the eyepiece group space ring and the second eyepiece lens are coaxially arranged from front to back in sequence; and the inner side of the eyepiece group space ring is provided with a dip angle for changing the light path of the reflection light spot. By adjusting the inclination of the interior of the lens space ring, the reverse light spots can be directionally reflected to other structure areas, the reverse light spots are prevented from entering an optical system, and the imaging quality of a photo CCD is improved.

The application relates to an ophthalmic multimodal imaging joint calibration device and a calibration method. The device comprises a variable diaphragm, an eye simulation lens, a water room and a calibration plate. The eye simulation lens is placed at the best working distance of the calibrated equipment. The variable diaphragm is placed in front of the front surface of the eye simulation lens, and the light aperture of the variable diaphragm can be adjusted at will. The calibration plate is placed at the back focal plane of the eye simulation lens, and a calibration pattern is drawn on the front surface of the calibration plate. The front surface of the calibration plate, the rear surface of the eye simulation lens and the water room form a closed space, and the inside can be injected with liquid. The application is mainly used for joint imaging calibration of fundus camera equipment and ophthalmic OCT equipment, and solves the problem of poor spatial matching of imaging data when two modal instruments are used for joint imaging.

The present disclosure relates to an optical system of a fundus camera with a light barrier, which comprises an illumination device, a first optical assembly, a second optical assembly, an imaging device and a positioning device; the illumination device comprises an illumination light source; the first optical assembly comprises a first half-transmission half-reflection mirror, a first polarizer, a second half-transmission half-reflection mirror and a retinal objective lens, the first optical assembly directs the light beam from the illumination light source to the fundus of the eye to be examined, and guides the reflected light of the fundus to the second optical assembly; the second optical assembly comprises a second polarizer and a focusing module, the focusing module guides the reflected light to the imaging device; the imaging device receives the light from the second optical assembly to form the fundus image; the positioning device comprises a guiding light source and a light barrier, the light beam of the guiding light source has a preset shape after passing through the light barrier, the imaging device acquires the fundus images of different regions of the eye to be examined based on the guiding light source, and the first optical assembly directs the light beam of the guiding light source to the fundus of the eye to be examined for imaging.

A method of validating alignment of an image sensor of a camera and an illumination projection for use in a system for automatically aligning a camera device which includes the camera, wherein the cam

The invention discloses a fundus camera positioning method and device, and the method comprises the steps: obtaining a target eye image of a target object, and the target eye image at least comprises a target pupil of the target object; the target eye image is processed according to a pupil recognition model to determine pupil center point coordinates of a target pupil in the target eye image, and the pupil recognition model comprises a channel attention module and a space attention module which are used for processing the target eye image; and controlling the fundus camera to move to a target position corresponding to the pupil center point coordinate. Through the channel attention module and the space attention module, pupil recognition can be performed in combination with the image features of the target eye image in the channel dimension and the space dimension, so that the pupil recognition model more comprehensively pays attention to the important features of the target eye image in the multiple dimensions, the accuracy of the recognition result is effectively improved, and the recognition efficiency is improved. And the success rate of the fundus camera shooting the fundus image according to the pupil center point is improved.

The present invention discloses a retinal fixation training method and device based on fundus images, belonging to the field of retinal training technology, comprising the following steps: S1: adjusting a fundus camera to obtain a real-time fundus image of a patient based on the fundus camera; S2: processing the real-time fundus image of the patient to determine a fundus feature image of the patient; S3: analyzing and evaluating the fundus feature image of the patient to determine the fundus image analysis and evaluation result; S4: performing intelligent retinal fixation training on the patient; and S5: optimizing and adjusting the retinal fixation training program based on patient feedback and suggestions. The present invention solves the problem that existing personalized retinal fixation training programs cannot be formulated for patients based on fundus images, resulting in poor retinal fixation training results for patients. The present invention can formulate personalized retinal fixation training programs for patients based on fundus images, thereby improving the retinal fixation training results for patients.

The invention provides a fundus shooting control method and device and a fundus camera, and the method comprises the steps: obtaining a first recognition image when a first recognition object is located in a shooting range of the fundus camera; performing medical care identity verification on the first person according to the first identification image; in response to successful verification of the medical care identity of the first person, controlling the fundus camera to switch from the first state to a second state; wherein when the fundus camera is in the first state, the fundus camera is not allowed to acquire the patient information of the second person; and when the fundus camera is in the second state, allowing the fundus camera to acquire patient information of the second person. And when the fundus camera is in the first state, fundus shooting of the second person is not allowed. After the medical care identity of the first person is determined, fundus shooting is allowed to be performed on the second person, so that non-professionals are prevented from operating a fundus camera, accidental injuries to patients are reduced, and the safety is higher.

The present application relates to a kind of portable large field of view fundus camera optical system, which uses four-piece as retinal objective, improves Gaussian mirror group as imaging mirror group, uses secondary imaging, and the retina is first imaged in the center of the system through retinal objective, and the central image is finally imaged in CMOS sensor through focusing mirror group and imaging mirror group, and finally clear fundus image is obtained. At the same time, a flat-concave lens is used as the focusing lens in the Gaussian mirror group. The optical design of the system is simple in structure, low in manufacturing cost, and compared with the portable fundus camera on the market, the number of lenses is less, and no aspherical mirror is used to meet the requirements of large field of view and wide range of focusing. The system length is less than 190mm, which meets the requirements of portability.

This application discloses a driving device, belonging to the field of fundus camera technology. The coupling and drive motor of the driving device can be integrated into two mounting positions of a bracket, respectively. Therefore, during bracket manufacturing, the preset positional accuracy of the two mounting positions can be easily controlled. After the drive motor is fixed to the bracket, the output shaft is inserted into the second connecting hole of the coupling. Simultaneously, during bracket manufacturing, the preset positional accuracy of the drive screw's mounting position relative to the first and second mounting positions can also be controlled. Furthermore, while leaving an assembly gap between the first end of the drive screw and the first connecting hole of the coupling, the two sets of snap-fit ​​surfaces are engaged. Thus, after the drive motor and coupling are assembled, the first end of the drive screw can be inserted into the first connecting hole, eliminating the need for repeated adjustments to the assembly accuracy between the coupling and the screw, reducing the number of assembly parts and lowering assembly costs.

This application discloses a method, device, and storage medium for adaptive panoramic stitching of multiple images from a fundus camera. The method includes: matching feature points of a reference image and the images to be stitched to obtain a transformation matrix; binarizing the reference image and the perspective-transformed images to be stitched to extract the maximum outer contour, performing a logical AND operation on the filled regions of the maximum outer contour to obtain the contour intersection; extracting connected regions from the contour intersection, using the geometric center of the connected regions as intersection points to delineate boundary lines in the overlapping areas of the reference image and the perspective-transformed images to be stitched to generate a fusion mask; fusing the reference image and the images to be stitched using the fusion mask across multiple frequency bands to obtain a stitched image; and repeatedly performing the image stitching operation on the stitched image as a new reference image until all images to be stitched are processed and the reference image is output. This application achieves the technical effect of providing anatomically complete and globally consistent panoramic fundus images through adaptive intersection point positioning of the fusion boundary, multi-image joint verification to eliminate accumulated errors, and roundness quality gating.

A device has a light guide portion and a light collector portion. The light guide portion is cup shaped. The wall of the cup has a cross section defined by sections of two ellipses disposed in a predefined manner with each other. The light collector portion is also cup-shaped, inverted with reference to the light guide portion, by a section of an ellipse and straight lines defined with reference to the light guide portion. The device radiates an annular illumination at the rim of the cup through total internal reflection of light from an LED, collected by the light collector portion. The device is made of a clear, colourless, substantially transparent material by injection moulding, one example being Polycarbonate. An annular light source system and a fundus camera using such a system are also disclosed.

1. The name of this design product: Manual fundus camera. 2. Purpose of the product of this design: integrating the color photography function of the non-mydriatic fundus camera. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The techniques described herein are directed to fundus cameras, and more particularly, to fundus cameras having a display that projects an active vision alignment stimulus onto an eye of a subject via one or more components of an optical assembly. A fundus camera includes: an optical assembly including one or more optical components; a display adapted to project an active alignment pattern and a reference alignment pattern onto the eye of the subject via the optical assembly; a camera adapted to capture one or more images of the fundus of the subject; an eye tracker adapted to monitor the position of the subject's eye relative to the fundus camera; and a control system operatively coupled to the display, the camera, and the eye tracker and configured to direct the display to guide the subject toward pupil-to-camera alignment by dynamically adjusting the active alignment pattern relative to the reference alignment pattern based on the position of the subject's eye relative to the fundus camera. The active vision alignment stimulus is dynamically adjusted to guide the subject toward optical alignment for fundus imaging.

The techniques described herein relate to fundus imaging systems with automatic image capture. An example method for fundus imaging comprises aligning an image path of a fundus camera to an eye pupil of a subject, iteratively executing an autofocus function to determine a plurality of first diopter values, adjusting a focus of a lens of the fundus camera in accordance with a second diopter value, the second diopter value identified from the plurality of first diopter values or determined from the plurality of first diopter values, and capturing, after adjusting the focus of the lens in accordance with the second diopter value, a fundus image of a retina of the subject.

The invention discloses a use method of a scanning splicing large-view-field fundus phase imaging device. The scanning splicing large-view-field fundus phase imaging device comprises an illumination light path and a zoom light path. The illumination light path comprises a scanning mirror, a spectroscope and a fundus objective lens, the front side of the scanning mirror is a collimation light source, the rear side of the scanning mirror is the spectroscope, the left side of the spectroscope is the fundus objective lens and a patient fundus, and the right side of the spectroscope is a zoom lens group of a zoom light path and a fundus camera. The scanning mirror is rotated and the focal length of the zoom lens group is adjusted in sequence according to the plurality of scanning sequence groups, so that the fundus camera acquires a plurality of groups of positive defocus state, focusing state and negative defocus state images, then a plurality of local fundus phase diagrams are obtained according to the images, and a complete fundus phase distribution diagram is obtained, namely, the fundus phase distribution diagram has the phase information acquisition capability; and observing microscopic important pathological features according to the fundus phase distribution diagram. Therefore, the design has the capability of acquiring phase information, and microscopic important pathological features can be observed.

A non-invasive device for detecting Alzheimer's Disease-associated pathologies, comprising a fundus camera comprising a spectral reflectance imaging unit that includes a broadband light source and a light sensor and a lens assembly to focus light from the broadband light source onto a fundus of an eye, and one or more processors to detect reflected and / or backscattered light from the eye, illuminated by the broadband light source, using the light sensor for determining spectral reflectance information, generate a plurality of spectral reflectance maps comprising counts of reflected and / or backscattered light at a different wavelength or a different range of wavelengths, assign a weight to each of the spectral reflectance maps, and determine one or more regions of interest from the weighted spectral reflectance maps as being a potential Alzheimer's Disease-associated pathology based on a detection of one or more biomarkers indicative of Tauopathy.

The invention provides a diabetic retinopathy deep learning classification model evaluation method, and the method comprises the steps: firstly, describing a set of human eye model and fundus camera combined optical system; according to the optical system, a human eye model and a fundus camera model are combined, and diabetic retinopathy fundus examination simulation with high reduction degree and high resolution is achieved. In addition, a diabetic retinopathy simulation parallax image generation method based on computational optics is provided based on the method, a parallax simulation system is designed through ZEMAX, and a simulation parallax image is calculated through a point spread function matrix. Based on the generated simulated parallax image, a further deep learning classification model generalization performance test is provided, and the evaluation method can effectively evaluate the classification performance of the classification model on the target simulated parallax image.

1. The name of the product of this design: fundus camera. 2. Purpose of this design product: used to capture fundus images. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.