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公开(公告)号：US10767973B2
公开(公告)日：2020-09-08
申请号：US16173146
申请日：2018-10-29
Applicant: Alcon Inc.
Inventor： Bing Wang , Muhammad K. Al-Qaisi , Hugang Ren
Abstract: Techniques and apparatus for producing sampled Optical Coherence Tomography (OCT) interference signals without aliasing, based on a swept-source OCT interference signal. An example apparatus comprises a k-clock circuit configured to selectively output a k-clock signal at any of a plurality of k-clock frequencies ranging from a minimum k-clock frequency to a maximum k-clock frequency, and an anti-aliasing filter configured to filter a swept-source OCT interference signal, to produce a filtered OCT interference signal, where the anti-aliasing filter has a cut-off frequency greater than one-half the minimum k-clock frequency but less than the minimum k-clock frequency. The apparatus further comprises an analog-to-digital (A/D) converter circuit configured to sample the filtered OCT interference signal at twice the k-clock frequency, to produce a sampled OCT interference signal. In some embodiments, the A/D converter circuit samples the filtered OCT interference signal at both rising and falling edges of the k-clock signal.
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公开(公告)号：US10916015B2
公开(公告)日：2021-02-09
申请号：US16199423
申请日：2018-11-26
Applicant: Alcon Inc.
Inventor： Hugang Ren
Abstract: A method for improving segmentation in optical coherence tomography imaging. The method comprises obtaining an OCT image of imaged tissue, generating a first feature image for at least a portion of the OCT image, and generating a second feature image for at least the portion of the OCT image, based on either the OCT image or the first feature image, by integrating image data in a first direction across the OCT image or first feature image. A third feature image is generated as a mathematical function of the first and second feature images, and layer segmentation for the OCT image is performed, based on the third feature image.
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公开(公告)号：US11562484B2
公开(公告)日：2023-01-24
申请号：US17127651
申请日：2020-12-18
Applicant: Alcon Inc.
Inventor： Muhammad K. Al-Qaisi , Parisa Rabbani , Hugang Ren
Abstract: Systems and methods are presented for providing a machine learning model for segmenting an optical coherence tomography (OCT) image. A first OCT image is obtained, and then labeled with identified boundaries associated with different tissues in the first OCT image using a graph search algorithm. Portions of the labeled first OCT image are extracted to generate a first plurality of image tiles. A second plurality of image tiles is generated by manipulating at least one image tile from the first plurality of image tiles, such as by rotating and/or flipping the at least one image tile. The machine learning model is trained using the first plurality of image tiles and the second plurality of image tiles. The trained machine learning model is used to perform segmentation in a second OCT image.
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公开(公告)号：US11064884B2
公开(公告)日：2021-07-20
申请号：US15874684
申请日：2018-01-18
Applicant: Alcon Inc.
Inventor： Alexander N. Artsyukhovich , Z. Aras Aslan , Hugang Ren , Lingfeng Yu , Chengxin Zhou
Abstract: A method and system provide an optical coherence tomography system including a light source, an interferometric system, a processor and a memory. The interferometric system is optically coupled with the light source and includes at least one movable scanning mirror. The processor and memory are coupled with the interferometric system. The processor executes instructions stored in the memory to cause the movable scanning mirror to scan a plurality of points in a sample in at least one pattern. The at least one pattern is based on at least one of at least one Lissajous curve and at least one Spirograph curve.
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Patent Agency Ranking
公开(公告)号：US10779721B2
公开(公告)日：2020-09-22
申请号：US15717171
申请日：2017-09-27
Applicant: Alcon Inc.
Inventor： Mauricio Jochinsen , Hugang Ren , Lingfeng Yu
Abstract: An optical coherence tomography (OCT) system and method for cross view imaging using at least two B-scan images transformed and coupled to each other at an angle to generate a cross view image.
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公开(公告)号：US20230124674A1
公开(公告)日：2023-04-20
申请号：US18068978
申请日：2022-12-20
Applicant: Alcon Inc.
Inventor： Muhammad K. Al-Qaisi , Parisa Rabbani , Hugang Ren
Abstract: Systems and methods are presented for providing a machine learning model for segmenting an optical coherence tomography (OCT) image. A first OCT image is obtained, and then labeled with identified boundaries associated with different tissues in the first OCT image using a graph search algorithm. Portions of the labeled first OCT image are extracted to generate a first plurality of image tiles. A second plurality of image tiles is generated by manipulating at least one image tile from the first plurality of image tiles, such as by rotating and/or flipping the at least one image tile. The machine learning model is trained using the first plurality of image tiles and the second plurality of image tiles. The trained machine learning model is used to perform segmentation in a second OCT image.
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公开(公告)号：US10694940B2
公开(公告)日：2020-06-30
申请号：US16177946
申请日：2018-11-01
Applicant: Alcon Inc.
Inventor： Hugang Ren , Lingfeng Yu
Abstract: A method of automatically detecting a retinal feature using an ophthalmic imaging system and automatically providing at least one of an audio, visual, and tactile indication of the detected retinal feature to a user.
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公开(公告)号：US20220241111A1
公开(公告)日：2022-08-04
申请号：US17724099
申请日：2022-04-19
Applicant: Alcon Inc.
Inventor： Michael John Claus , Robert Sanchez , Tammo Heeren , Argelio Michael Olivera , Michael Papac , Lingfeng Yu , Hugang Ren
IPC: A61F9/008
Abstract: Apparatuses, systems, and methods for treating tissue abnormalities are disclosed. The tissue may be visualized for determining a presence of one or more abnormalities contained therein. Imaging data obtained by visualization may be used to determine the presence of one or more abnormalities. Each of the detected abnormalities may be identified and a treatment plan developed for treating the abnormalities. Treatment may be delivered to the abnormalities according to the treatment plan.
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公开(公告)号：US20210192732A1
公开(公告)日：2021-06-24
申请号：US17127651
申请日：2020-12-18
Applicant: Alcon Inc.
Inventor： Muhammad K. Al-Qaisi , Parisa Rabbani , Hugang Ren
Abstract: Systems and methods are presented for providing a machine learning model for segmenting an optical coherence tomography (OCT) image. A first OCT image is obtained, and then labeled with identified boundaries associated with different tissues in the first OCT image using a graph search algorithm. Portions of the labeled first OCT image are extracted to generate a first plurality of image tiles. A second plurality of image tiles is generated by manipulating at least one image tile from the first plurality of image tiles, such as by rotating and/or flipping the at least one image tile. The machine learning model is trained using the first plurality of image tiles and the second plurality of image tiles. The trained machine learning model is used to perform segmentation in a second OCT image.
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