公开(公告)号：AU2023343290A1

公开(公告)日：2025-02-06

申请号：AU2023343290

申请日：2023-09-08

Applicant: ALCON INC

Inventor： SURESH VIGNESH ,  YIN LU ,  SARANGAPANI RAMESH ,  RAPOPORT TOBIAS JURA

IPC: A61B3/00 ,  A61B3/13 ,  A61F2/16

Abstract: Particular embodiments disclosed herein provide an alignment guide for aligning a toric IOL during surgery. An image with a reference axis is obtained, such as from a digital microscope, and processed, such as using an autoencoder, to label alignment marks on the IOL and possibly other features of the IOL. The label is processed, such as using a logistic regression model, to estimate an IOL axis of the IOL intersecting the alignment marks. An output image is generated from the image that has superimposed thereon guides to a surgeon, such as a line representing the IOL axis, a rotation direction indicator, and a number or other representation of a difference between the reference axis and the IOL axis. Tracking of features of the IOL may be performed across multiple images to predict the location of features not represented in a particular image.

公开(公告)号：AU2023351934A1

公开(公告)日：2025-03-06

申请号：AU2023351934

申请日：2023-09-27

Applicant: ALCON INC

Inventor： PARK JOHN ,  XIANG QING ,  RICHARDSON DEAN ,  YIN LU ,  SURESH VIGNESH

IPC: A61B3/10

Abstract: OF THE DISCLOSURE In certain embodiments, a system, a computer-implemented method, and computer- readable medium are disclosed for performing integrated analysis of MSI and OCT images to diagnose eye disorders. MSI and OCT are processed using separate input machine learning models to create input feature maps that are input to an intermediate machine learning model. The intermediate machine learning model processes the input feature maps and outputs a final feature map that is processed by one or more output machine learning models that output one or more estimated representations of a pathology of the eye of the patient. A single device captures OCT and non-OCT images using (a) a sensor of a first imaging device that is shared with a second imaging device and/or (b) an optical component for directing light form the retina to the first imaging device or the second imaging device.

公开(公告)号：AU2023318506A1

公开(公告)日：2025-01-09

申请号：AU2023318506

申请日：2023-07-25

Applicant: ALCON INC

Inventor： SURESH VIGNESH ,  KUMAR SHRUTI SIVA ,  YIN LU ,  SARANGAPANI RAMESH

IPC: A61B3/00

Abstract: In certain embodiments, an ophthalmic system and computer-implemented method for analyzing multiple spectral information to generate ophthalmic information are described. In an exemplary ophthalmic system, multiple spectral information associated with an eye of a patient is captured via an imaging system. A first set of information and a second set of information are extracted from the multiple spectral information. A visualization of the multiple spectral information is generated using the first set of information. The first set of information and the second set of information are evaluated using different deep learning models to generate ophthalmic information. The ophthalmic information is sent to a user for diagnostic evaluation.

公开(公告)号：AU2023351933A1

公开(公告)日：2025-02-20

申请号：AU2023351933

申请日：2023-09-27

Applicant: ALCON INC

Inventor： SURESH VIGNESH ,  YIN LU ,  SARANGAPANI RAMESH

IPC: G06T7/00

Abstract: In certain embodiments, a system, a computer-implemented method, and computer- readable medium are disclosed for performing integrated analysis of MSI and OCT images to diagnose eye disorders. MSI and OCT are processed using separate input machine learning models to create input feature maps that are input to an intermediate machine learning model. The intermediate machine learning model processes the input feature maps and outputs a final feature map that is processed by one or more output machine learning models that output one or more estimated representations of a pathology of the eye of the patient.

公开(公告)号：AU2023343277A1

公开(公告)日：2025-02-06

申请号：AU2023343277

申请日：2023-09-07

Applicant: ALCON INC

Inventor： YIN LU ,  SARANGAPANI RAMESH ,  BERGER KONGFENG ,  SURESH VIGNESH

IPC: A61B3/00 ,  A61B3/10 ,  A61B3/14

Abstract: In certain embodiments, a system, a computer-implemented method, and computer-readable medium for generating multispectral imaging (MSI) based on performing an analytical MSI operation are described. The analytical MSI operation includes synchronizing a scan of a target by a broadband imaging device with a generation of a plurality of light signals, from a plurality of broadband illumination sources, directed towards the target. A set of spectral information associated with the target is generated, based on the scan of the target with the broadband imaging device. A set of multispectral imaging (MSI) information associated with the target is generated, based on performing an MSI operation using at least the set of spectral information. Ophthalmic information is determined based on the set of MSI information.

公开(公告)号：CA3150801A1

公开(公告)日：2021-05-06

申请号：CA3150801

申请日：2020-10-22

Applicant: ALCON INC

Inventor： SARANGAPANI RAMESH ,  YIN LU

IPC: G16H50/50

Abstract: Systems and methods are presented for providing a vision simulation of a patient who has an eye condition. A composite image representing a real-world scene is obtained. The composite image includes multiple image layers, where each image layer represents objects that are at a particular viewing distance in the real-world scene. A first eye model representing the eye optics of the patient is generated. A second eye model representing the eye optics of a viewer is generated. The second eye model is modified by performing a mathematical function. A simulated image representing the vision of the patient is generated by convolving the first eye model and the modified second eye model with the composite image. In some embodiments, a tone mapping algorithm may also be applied to the simulated image to simulate a nighttime scene.

公开(公告)号：AU2023367790A1

公开(公告)日：2025-03-27

申请号：AU2023367790

申请日：2023-10-26

Applicant: ALCON INC

Inventor： TRIPATHI ASHOK BURTON ,  YIN LU ,  SARANGAPANI RAMESH

IPC: A61B3/00 ,  A61B3/13 ,  G16H30/40

Abstract: Certain embodiments provide a method of performing ophthalmic surgical procedures. The method includes ingesting and preparing pre-operative data and intra-operative data associated with a patient's eye for further processing. In certain embodiments, the method further includes integrating the pre-operative data and intra-operative data to generate context sensitive data for further processing. The method also includes classifying and annotating the pre-operative data, the intra-operative data, and the context sensitive data. The method also includes extracting one or more actionable inferences from the pre-operative data, the intra- operative data, context sensitive data, and the classified and annotated data. The method further includes triggering, based on the one or more actionable inferences, one or more actions on an imaging system or a surgical system.

公开(公告)号：AU2023351932A1

公开(公告)日：2025-02-20

申请号：AU2023351932

申请日：2023-09-27

Applicant: ALCON INC

Inventor： YIN LU ,  SURESH VIGNESH ,  SARANGAPANI RAMESH

IPC: A61B3/00 ,  G06T7/00

Abstract: In certain embodiments, a system, a computer-implemented method, and computer- readable medium are disclosed for light efficient fluorescence imaging. The retina is flashed with broadband light and returned light is imaged after passing through one or more filters, such as notch filers, low-pass filters, and high-pass filters. Images may be captured with a single camera or at least two cameras, one capturing transmitted light from the filter and the other capturing returned light. Images may be combined by subtraction and/or addition to obtain a combined image representing light within a passband whereas no passband filters are used during imaging.

公开(公告)号：AU2020377149A1

公开(公告)日：2022-03-31

申请号：AU2020377149

申请日：2020-10-22

Applicant: ALCON INC

Inventor： SARANGAPANI RAMESH ,  YIN LU

IPC: G16H50/50

Abstract: Systems and methods are presented for providing a vision simulation of a patient who has an eye condition. A composite image representing a real-world scene is obtained. The composite image includes multiple image layers, where each image layer represents objects that are at a particular viewing distance in the real-world scene. A first eye model representing the eye optics of the patient is generated. A second eye model representing the eye optics of a viewer is generated. The second eye model is modified by performing a mathematical function. A simulated image representing the vision of the patient is generated by convolving the first eye model and the modified second eye model with the composite image. In some embodiments, a tone mapping algorithm may also be applied to the simulated image to simulate a nighttime scene.