-
公开(公告)号：US20220198654A1
公开(公告)日：2022-06-23
申请号：US17507644
申请日：2021-10-21
Applicant: Alcon Inc.
Inventor： Sinchan Bhattacharya , Hyo Won Choi , Ramesh Sarangapani , Bryan Stanfill
Abstract: A system and method for augmenting an original OCT (optical coherence tomography) image includes a controller having a processor and a tangible, non-transitory memory on which instructions are recorded. The system includes one or more learning modules selectively executable by the controller. The learning modules are trained by a training network with a training dataset having a plurality of training ultrasound bio-microscopy images and respective training OCT images. Execution of the instructions by the processor causes the controller to obtain the original OCT image, captured through an OCT device. The controller is configured to generate an augmented OCT image based in part on the original OCT image, by executing the (trained) learning modules. The augmented OCT image at least partially extends a peripheral portion of the original OCT image.
-
公开(公告)号：US20220031512A1
公开(公告)日：2022-02-03
申请号：US17380992
申请日：2021-07-20
Applicant: Alcon Inc.
Inventor： David Thoe , Brant Gillen , George Hunter Pettit , Marcos H. Zamorano , Keith Watanabe , Ramesh Sarangapani , Sinchan Bhattacharya , Joseph Weatherbee
Abstract: Systems and methods for assisting in the removal of a cataract from an eye can include obtaining pre-operative data for the eye, the pre-operative data including imaging data associated with the lens of the eye, determining a lens density map based on the imaging data associated with the lens, and generating laser fragmentation patterns for a laser fragmentation procedure based on the lens density map.
-
公开(公告)号：US20210193278A1
公开(公告)日：2021-06-24
申请号：US17127735
申请日：2020-12-18
Applicant: Alcon Inc.
Inventor： Kevin Baker , Ramesh Sarangapani
Abstract: A personalized assistance system for a user of a vision correction device includes a remote computing unit with a controller having a processor and tangible, non-transitory memory on which instructions are recorded. The controller is configured to selectively execute one or more machine learning models. A user device is operable by the user and includes an electronic diary module configured to prompt the user to answer one or more preselected questions at specific intervals. The electronic diary module is configured to store respective answers, entered by the user in response to the one or more preselected questions, as self-reported data. The controller is configured to obtain the self-reported data from the electronic diary module and generate an analysis of the self-reported data, via the one or more machine learning models. The controller is configured to assist the user based in part on the analysis.
-
公开(公告)号：US20250095152A1
公开(公告)日：2025-03-20
申请号：US18828271
申请日：2024-09-09
Applicant: Alcon, Inc.
Inventor： Vignesh Suresh , Lu Yin , Ramesh Sarangapani
Abstract: A system for spatially binding images from multiple modalities includes a controller having at least one processor and at least one non-transitory, tangible memory. The controller is adapted to receive first and second imaging datasets of a target site from a first and a second modality. The controller is adapted to extract a first feature set in the first imaging dataset, via a first neural network. A second feature set is extracted from the second imaging dataset, via a second neural network. Feature pairs are generated by matching respective datapoints in the first feature set and the second feature set. The controller is adapted to determine a coordinate transformation between the feature pairs and generate at least one spatially bound image of the target site based in part on the coordinate transformation.
-
公开(公告)号：US11944379B2
公开(公告)日：2024-04-02
申请号：US16896006
申请日：2020-06-08
Applicant: Alcon Inc.
Inventor： Ramesh Sarangapani , Kevin Baker
CPC classification number: A61B3/0025 , G06N5/04 , G06N20/00 , G16H50/20 , G16H50/70
Abstract: Systems and methods for determining a compatibility between a multi-focal contact lens and a patient seeking presbyopia vision correction include receiving, from a first device associated with a first eye-care professional (ECP), a request for selecting a contact lens for a consumer, wherein the request comprises biometric information associated with the consumer; obtaining a performance metric associated with the first ECP; determining, using the machine learning model and based on the performance metric, a customized compatibility index indicating a compatibility between a particular contact lens and the consumer for the first ECP; and presenting a report indicating the compatibility index on the first device. Additional systems, methods, and non-transitory machine-readable mediums are also provided.
-
Patent Agency Ranking
6.发明公开公开(公告)号：US20240094054A1
公开(公告)日：2024-03-21
申请号：US18463088
申请日：2023-09-07
Applicant: Alcon Inc.
Inventor： Lu Yin , Ramesh Sarangapani , Kongfeng Berger , Vignesh Suresh
CPC classification number: G01J3/2823 , A61B3/14 , G01J3/10 , G01J3/433 , G01J2003/102 , G01J2003/2826 , G01J2003/4334
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：US11790582B2
公开(公告)日：2023-10-17
申请号：US17077941
申请日：2020-10-22
Applicant: Alcon Inc.
Inventor： Ramesh Sarangapani , Lu Yin
IPC: G06T11/60
CPC classification number: G06T11/60 , G06T2210/41
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：US20210106385A1
公开(公告)日：2021-04-15
申请号：US17064254
申请日：2020-10-06
Applicant: Alcon Inc.
Inventor： Sinchan Bhattacharya , Ramesh Sarangapani
IPC: A61B34/10 , G16H30/20 , G16H30/40 , G16H50/20 , G16H50/30 , G16H20/40 , G16H50/70 , A61F2/16 , A61B8/10 , G06T7/62 , G06T7/70
Abstract: A method and system for selecting an intraocular lens, with a controller having a processor and tangible, non-transitory memory. A plurality of machine learning models is selectively executable by the controller. The controller is configured to receive at least one pre-operative image of the eye and extract, via a first input machine learning model, a first set of data. The controller is configured to receive multiple biometric parameters of the eye and extract, via a second input machine learning model, a second set of data. The first set of data and the second set of data are combined to produce a mixed set of data. The controller is configured to generate, via an output machine learning model, at least one output factor based on the mixed set of data. An intraocular lens is selected based in part on the at least one output factor.
-
公开(公告)号：US20240188819A1
公开(公告)日：2024-06-13
申请号：US18444164
申请日：2024-02-16
Applicant: Alcon Inc.
Inventor： Ramesh Sarangapani , Mark VonTress
CPC classification number: A61B3/1015 , A61B3/0025 , A61B3/0033 , G06N3/08
Abstract: A system and method of assessing vision quality of an eye is presented, with a controller having a processor and tangible, non-transitory memory on which instructions are recorded. The controller is configured to selectively execute at least one machine learning model. Execution of the instructions by the processor causes the controller to: receive wavefront aberration data of the eye and express the wavefront aberration data as a collection of Zernike polynomials. The controller is configured to obtain a plurality of input factors based on the collection of Zernike polynomials. The plurality of input factors is fed into the at least one machine learning model, which is trained to analyze the plurality of input factors. The machine learning model generates at least one vision correction factor based in part on the plurality of input factors.
-
公开(公告)号：US11931104B2
公开(公告)日：2024-03-19
申请号：US17127693
申请日：2020-12-18
Applicant: Alcon Inc.
Inventor： Ramesh Sarangapani , Mark VonTress
CPC classification number: A61B3/1015 , A61B3/0025 , A61B3/0033 , G06N3/08
Abstract: A system and method of assessing vision quality of an eye is presented, with a controller having a processor and tangible, non-transitory memory on which instructions are recorded. The controller is configured to selectively execute at least one machine learning model. Execution of the instructions by the processor causes the controller to: receive wavefront aberration data of the eye and express the wavefront aberration data as a collection of Zernike polynomials. The controller is configured to obtain a plurality of input factors based on the collection of Zernike polynomials. The plurality of input factors is fed into the at least one machine learning model, which is trained to analyze the plurality of input factors. The machine learning model generates at least one vision correction factor based in part on the plurality of input factors.
-
-
-
-
-
-
-
-
-
Search Results
28
records
(took 0.011 seconds)
