Abstract: In certain embodiments, a system for tracking movement of an eye comprises a camera system, a computer system, and an output device. The camera system generates images of the eye. The computer system stores the images and at least one of the images as a reference image. The computer system also tracks movement of the eye within a tracking range by comparing a current image with the reference image, and by determining a movement of the eye from the comparison of the current image and the reference image. The tracking range has one or more alert points. The computer system also determines an orientation of the eye relative to at least one alert point of the tracking range. The output device outputs a range indicator that indicates the orientation of the eye relative to the at least one alert point of the tracking range.

Abstract: In certain embodiments, a system for tracking movement of an eye comprises a camera system, a computer system, and an output device. The camera system generates images of the eye. The computer system stores the images and at least one of the images as a reference image. The computer system also tracks movement of the eye within a tracking range by comparing a current image with the reference image, and by determining a movement of the eye from the comparison of the current image and the reference image. The tracking range has one or more alert points. The computer system also determines an orientation of the eye relative to at least one alert point of the tracking range. The output device outputs a range indicator that indicates the orientation of the eye relative to the at least one alert point of the tracking range.

Abstract: An ophthalmic system for analyzing data for a procedure includes a computer. The computer includes a memory, an interface device, and one or more processors that execute software. The memory stores procedure information for the procedure, and the interface device receives input and provide output. The one or more processors identify information from the procedure information that is crucial for the procedure, determine one or more recommendations to address the crucial information, and provide the crucial information and the one or more recommendations via the interface device.

Abstract: Certain aspects of the present disclosure provide techniques for performing surgical ophthalmic procedures, such as cataract surgeries. An example method generally includes generating, using one or more measurement devices, one or more data points associated with measurements of one or more anatomical parameters for an eye to be treated. Using one or more trained machine learning models, one or more recommendations are generated including one or more IOL parameters for the IOL to be used in the cataract surgery based, at least in part, on the one or more data points. The machine learning models are trained based on at least one historical data set of data points associated with measurements of anatomical parameters mapped to treatment data and treatment result data associated with each historical patient. The one or more IOL parameters comprise one or more of an IOL type, an IOL power, or IOL placement information for implanting the IOL in the eye.

Abstract: 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.

Abstract: An ophthalmic system for generating an ocular model of an eye includes an optical coherence tomography (OCT) device, an aberrometer, and a computer. The OCT device detects OCT light reflected from the eye. The aberrometer detects aberrometer light reflected from the eye. The computer generates the ocular model of the eye according to the reflected OCT light. The ocular model includes parameters describing the eye. The parameters include lens parameters that describe the lens of the eye. The computer determines an OCT-based wavefront according to the ocular model, determines an aberrometer-based wavefront according to the reflected aberrometer light, and compares the OCT-based and the aberrometer-based wavefronts. If the wavefronts differ beyond a predefined tolerance, the computer adjusts one or more values assigned to the parameters until the wavefronts satisfy the predefined tolerance. At least one adjusted value is assigned to a lens parameter.

Abstract: In certain embodiments, a system for tracking movement of an eye comprises a camera system, a computer system, and an output device. The camera system generates images of the eye. The computer system stores the images and at least one of the images as a reference image. The computer system also tracks movement of the eye within a tracking range by comparing a current image with the reference image, and by determining a movement of the eye from the comparison of the current image and the reference image. The tracking range has one or more alert points. The computer system also determines an orientation of the eye relative to at least one alert point of the tracking range. The output device outputs a range indicator that indicates the orientation of the eye relative to the at least one alert point of the tracking range.

Abstract: 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.

Abstract: In certain embodiments, a system for tracking movement of an eye comprises a camera system, a computer system, and an output device. The camera system generates images of the eye. The computer system stores the images and at least one of the images as a reference image. The computer system also tracks movement of the eye within a tracking range by comparing a current image with the reference image, and by determining a movement of the eye from the comparison of the current image and the reference image. The tracking range has one or more alert points. The computer system also determines an orientation of the eye relative to at least one alert point of the tracking range. The output device outputs a range indicator that indicates the orientation of the eye relative to the at least one alert point of the tracking range.

Abstract: In certain embodiments, a system for tracking movement of an eye comprises a camera system, a computer system, and an output device. The camera system generates images of the eye. The computer system stores the images and at least one of the images as a reference image. The computer system also tracks movement of the eye within a tracking range by comparing a current image with the reference image, and by determining a movement of the eye from the comparison of the current image and the reference image. The tracking range has one or more alert points. The computer system also determines an orientation of the eye relative to at least one alert point of the tracking range. The output device outputs a range indicator that indicates the orientation of the eye relative to the at least one alert point of the tracking range.

Abstract: Embodiments of the invention refer to a system for registering and tracking the position of a person's eye, in particular for refractive ophthalmic surgery. According to embodiments, the system is structured such that eye images containing at least the iris and the pupil of the eye are made at a first wavelength of light and that eye images containing scleral blood vessels are made at a different second wavelength of light. The invention furthermore refers to a corresponding method for registering and tracking the position of a person's eye.

Abstract: A method for performing multi-level eye registration comprising: obtaining a first initial reference eye image by a first diagnostic device and defining a reference coordinate system; obtaining a second eye image by a surgery device, said second eye image being obtained in a pre-surgery phase before the surgery has started; performing a first registration between said first eye image and said second eye image to obtain a first registration result; obtaining a third eye image by said surgery device, said third eye image being obtained after surgery has started; performing a second registration between said second eye image and said third eye image to obtain a second registration result; combining said first and second registration results to obtain a combined registration result to thereby obtain a registration between said initial reference eye image obtained by said diagnostic device and said third eye image obtained by said surgery device after surgery has started.

Abstract: A method for performing multi-level eye registration comprising: obtaining a first initial reference eye image by a first diagnostic device and defining a reference coordinate system; obtaining a second eye image by a surgery device, said second eye image being obtained in a pre-surgery phase before the surgery has started; performing a first registration between said first eye image and said second eye image to obtain a first registration result; obtaining a third eye image by said surgery device, said third eye image being obtained after surgery has started; performing a second registration between said second eye image and said third eye image to obtain a second registration result; combining said first and second registration results to obtain a combined registration result to thereby obtain a registration between said initial reference eye image obtained by said diagnostic device and said third eye image obtained by said surgery device after surgery has started.

Abstract: A method for performing multi-level eye registration comprising: obtaining a first initial reference eye image by a first diagnostic device and defining a reference coordinate system; obtaining a second eye image by a surgery device, said second eye image being obtained in a pre-surgery phase before the surgery has started; performing a first registration between said first eye image and said second eye image to obtain a first registration result; obtaining a third eye image by said surgery device, said third eye image being obtained after surgery has started; performing a second registration between said second eye image and said third eye image to obtain a second registration result; combining said first and second registration results to obtain a combined registration result to thereby obtain a registration between said initial reference eye image obtained by said diagnostic device and said third eye image obtained by said surgery device after surgery has started.

Abstract: An eye tracking method for determining a position of an eye or a part of an eye in an image of an image sequence by performing a comparison between said image and a reference image, said process including: aligning a set of images; computing an enhanced reference image based on a combination of said set of aligned images; and determining said position in said image of said image sequence by comparing said image of said image sequence and said enhanced reference image to yield a motion estimation between said reference image and said image of said sequence.

Abstract: An eye tracking method for determining a position of an eye or a part of an eye in an image of an image sequence by performing a comparison between said image and a reference image, said process including: aligning a set of images; computing an enhanced reference image based on a combination of said set of aligned images; and determining said position in said image of said image sequence by comparing said image of said image sequence and said enhanced reference image to yield a motion estimation between said reference image and said image of said sequence.

Abstract: Embodiments of the invention refer to a system for registering and tracking the position of a person's eye, in particular for refractive ophthalmic surgery. According to embodiments, the system is structured such that eye images containing at least the iris and the pupil of the eye are made at a first wavelength of light and that eye images containing scleral blood vessels are made at a different second wavelength of light. The invention furthermore refers to a corresponding method for registering and tracking the position of a person's eye.

Abstract: A method for performing multi-level eye registration comprising: obtaining a first initial reference eye image by a first diagnostic device and defining a reference coordinate system; obtaining a second eye image by a surgery device, said second eye image being obtained in a pre-surgery phase before the surgery has started; performing a first registration between said first eye image and said second eye image to obtain a first registration result; obtaining a third eye image by said surgery device, said third eye image being obtained after surgery has started; performing a second registration between said second eye image and said third eye image to obtain a second registration result; combining said first and second registration results to obtain a combined registration result to thereby obtain a registration between said initial reference eye image obtained by said diagnostic device and said third eye image obtained by said surgery device after surgery has started.

Abstract: Embodiments of the invention refer to a system for registering and tracking the position of a person's eye, in particular for refractive ophthalmic surgery. According to embodiments, the system is structured such that eye images containing at least the iris and the pupil of the eye are made at a first wavelength of light and that eye images containing scleral blood vessels are made at a different second wavelength of light. The invention furthermore refers to a corresponding method for registering and tracking the position of a person's eye.

Abstract: Embodiments of the invention refer to a system for registering and tracking the position of a person's eye, in particular for refractive ophthalmic surgery. According to embodiments, the system is structured such that eye images containing at least the iris and the pupil of the eye are made at a first wavelength of light and that eye images containing scleral blood vessels are made at a different second wavelength of light. The invention furthermore refers to a corresponding method for registering and tracking the position of a person's eye.