Carl Zeiss Meditec Gmbh

Carl Zeiss Meditec Ag

Keith E O'Hara

Matthew J Everett

Martin Hacker

Christoph Hauger

Scott A Meyer

Markus Seesselberg

Claus Flachenecker

Rick A Williams

Yan Zhou

Alexandre R Tumlinson

Conor Leahy

David Nolan

Angelo Rago

Jochen M M Horn

Keith Brock

Priya Kulkarni

Peter Reimer

Xing Wei

Mary K Durbin

Michael V Doyle

Yue Qiu

Muzammil A Arain

Lars Omlor

Csaba Farkas

James Foley

Jennifer Y Luu

Niranchana Manivannan

Sunny Virmani

Gregory G Anderson

Jochen M Horn

Jeffrey Schmidt

Zubir Khan

Gary Lee

Michael Chen

Archana Kolli

Pranav Malvania

Scott Chang

Richard Orlowski

Benjamin Kwok

Yue Qui

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.

Patient tuned ophthalmic imaging system with single exposure multi-type imaging, improved focusing, and improved angiography image sequence display

The present application describes the addition of various feedback mechanisms including visual and audio feedback mechanisms to an ophthalmic diagnostic device to assist a subject to self-align to the device. The device may use the visual and non-visual feedback mechanisms independently or in combination with one another. The device may provide a means for a subject to provide feedback to the device to confirm that an alignment condition has been met. Alternatively, the device may have a means for sensing when acceptable alignment has been achieved. The device may capture diagnostic information during the alignment process or may capture after the alignment condition has been met.

Alignment improvements for ophthalmic diagnostic systems

The present application describes the addition of various feedback mechanisms including visual and audio feedback mechanisms to an ophthalmic diagnostic device to assist a subject to elf align to the device. The device may use the visual and non-visual feedback mechanisms independently or in combination with one another. The device may provide a means for a subject to provide feedback to the device to confirm that an alignment condition has been met. Alternatively, the device may have a means for sensing when Acceptable alignment has been achieved. The device may capture diagnostic information during the alignment process or may capture after the alignment condition has been met.

An ophthalmic imaging system has a specialized graphical user interface GUI to convey information for manually adjusting control inputs to bring an eye into alignment with the device. The GUI provides additional information such as laterality, visual alignment overlay aids, and live video feeds. The system further applies automatic gain control to fundus images, synchronizes itself with other ophthalmic systems on a computer network, and provides an optimized image load and display system.

Systems and methods for improved ophthalmic imaging

Ophthalmic imaging systems, particularly slit-scanning ophthalmo-scopes, are capable of characterizing refraction over the entire field of view of the system. Light from the light source of the system illuminates a region of the eye and the returning light is measured on a detector. The deviation of the location of the returning light from a predetermined location on the detector is measured. The deviation corresponds to the mismatch between the refractions of the imaging system and the eye. The light can be scanned across the full field of view to characterize the entire field. A second illumination source traveling along a second illumination path can be used to improve the characterization. The characterization can be of use for optimizing the focus of the instrument and for assessing the condition of the eye, including assessing myopia and astigmatism in the periphery.

Systems and methods for characterizing refraction with ophthalmic imaging systems

A camera capable of quickly updating a region of interest (ROI) in its sensor array is provided. The camera is configured to image individual scan lines of a scan imager created as a scan beam is scanned across a subject. A different ROI is defined for each scan line to be imaged. To achieve this, a table of ROI-defining entries is loaded into the camera prior to imaging the scan lines. The ROI-defining entries are used to update the sensor's ROI during the camera's Frame-Overhead-Time. In this manner, the ROI is changed in between the imaging of consecutive scans lines.

Region of interest table

Methods to create montages of wide-field fundus images, while correcting for the projective distortion inherent to an imaging system are described. The methods use specific knowledge of the imaging geometry of the particular imaging system to map the fundus images onto a set of 3D ray vectors, which allows them to be stitched together efficiently and precisely. After co-aligning the images using feature detection and matching, the registered images are projected back into 2D to generate the final montaged image. The method could be used on any type of wide-field fundus images including, but not limited to, those generated from optical coherence tomography, optical coherence tomography angiography, and broad-line fundus imaging systems.

Montaging of wide-field fundus images

Imaging systems are provided allowing examination of different object regions spaced apart in a depth direction by visual microscopy and by optical coherence tomography. An axial field of view and a lateral resolution is varied depending on which object region is examined by the imaging system. The proposed imaging systems are in particular applicable for thorough examination of the human eye.

Imaging system

An image data set acquired by an optical coherence tomography (OCT) system is corrected for effects due to motion of the sample. A first set of A-scans is acquired within a time short enough to avoid any significant motion of the sample. A second more extensive set of A-scans is acquired over an overlapping region on the sample. Significant sample motion may occur during acquisition of the second set. A-scans from the first set are matched with A-scans from the second set, based on similarity between the longitudinal optical scattering profiles they contain. Such matched pairs of A-scans are likely to correspond to the same region in the sample. Comparison of the OCT scanner coordinates that produced each A-scan in a matching pair, in conjunction with any shift in the longitudinal scattering profiles between the pair of A-scans, reveals the displacement of the sample between acquisition of the first and second A-scans in the pair. Estimates of the sample displacement are used to correct the transverse and longitudinal coordinates of the A-scans in the second set, to form a motion-corrected OCT data set.

Method of motion correction in optical coherence tomography imaging

A line scan imager is used to determine the motion of a subject. Each line of image data from the line scan imager is compared with a reference image. The location of a matching line in the reference image reveals the displacement of the subject. The current subject displacement can be determined based on each line of image data. The resulting displacement information can be used to correctly place other optical beams on the subject. The method can be applied to tracking the human eye to facilitate measurement, imaging, or treatment with a beam of optical radiation.

Method and apparatus for measuring motion of a subject using a series of partial images from an imaging system

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San Ramon, CA, United States of America

Keith E O'Hara