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公开(公告)号：US20210407088A1
公开(公告)日：2021-12-30
申请号：US17447465
申请日：2021-09-13
Applicant: Topcon Corporation
Inventor： Zaixing Mao , Zhenguo Wang , Kinpui Chan , Jonathan Liu , Jongsik Kim
Abstract: A multimodal imaging system and method is capable of taking fundus images, automatically identifying regions of interest (ROIs) of the eye from the fundus images, and performing OCT imaging in the identified ROIs, where the OCT images can provide clinically relevant information for screening purposes. By automatically identifying the ROIs, expert intervention is not required to perform specialized OCT imaging and thus, such imaging and analysis can be provided at more facilities and for more subjects for a lower cost.
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公开(公告)号：US20210319551A1
公开(公告)日：2021-10-14
申请号：US16845307
申请日：2020-04-10
Applicant: TOPCON CORPORATION
Inventor： Song Mei , Zaixing Mao , Xin Sui , Zhenguo Wang , Kinpui Chan
Abstract: A method for generating clinically valuable analyses and visualizations of 3D volumetric OCT data by combining a plurality of segmentation techniques of common OCT data in three dimensions following pre-processing techniques. Prior to segmentation, the data may be subject to a plurality of separately applied pre-processing techniques.
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公开(公告)号：US11614321B2
公开(公告)日：2023-03-28
申请号：US16829673
申请日：2020-03-25
Applicant: TOPCON CORPORATION
Inventor： Jongsik Kim , Bin Cao , Song Mei , Kinpui Chan , Zhenguo Wang , Zaixing Mao
Abstract: An interferometric method of identifying the thickness of an object that is too thin to be resolved by a Fourier transform of the interference signal includes applying a harmonic frequency modulation to an envelope of the interference signal. Where the object is a tear film, this method may be utilized to determine a thickness of the lipid layer of the tear film.
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公开(公告)号：US10893796B2
公开(公告)日：2021-01-19
申请号：US16252818
申请日：2019-01-21
Applicant: Topcon Corporation
Inventor： Zhenguo Wang , Zaixing Mao , Kinpui Chan
Abstract: A method for measuring layer thicknesses of a multi-layer structure includes generating first and second 2D images of the structure, each image being generated by measuring an intensity of a reflection of incident lights, from different discrete narrow spectral bands, on the structure. Thicknesses for at least one layer of the structure are then determined based on the measured reflection intensities at those locations.
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公开(公告)号：US20200309510A1
公开(公告)日：2020-10-01
申请号：US16829673
申请日：2020-03-25
Applicant: TOPCON CORPORATION
Inventor： Jongsik Kim , Bin Cao , Song Mei , Kinpui Chan , Zhenguo Wang , Zaixing Mao
Abstract: An interferometric method of identifying the thickness of an object that is too thin to be resolved by a Fourier transform of the interference signal includes applying a harmonic frequency modulation to an envelope of the interference signal. Where the object is a tear film, this method may be utilized to determine a thickness of the lipid layer of the tear film.
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Patent Agency Ranking
公开(公告)号：US20190231187A1
公开(公告)日：2019-08-01
申请号：US16252818
申请日：2019-01-21
Applicant: Topcon Corporation
Inventor： Zhenguo Wang , Zaixing Mao , Kinpui Chan
CPC classification number: A61B3/101 , A61B3/1005 , A61B3/14 , A61B5/0075 , A61B5/1075 , G01B11/06 , G01B11/0633 , G06T7/0012 , G06T11/60 , G06T2207/30041
Abstract: A method for measuring layer thicknesses of a multi-layer structure includes generating first and second 2D images of the structure, each image being generated by measuring an intensity of a reflection of incident lights, from different discrete narrow spectral bands, on the structure. Thicknesses for at least one layer of the structure are then determined based on the measured reflection intensities at those locations.
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公开(公告)号：US20240249393A1
公开(公告)日：2024-07-25
申请号：US18624782
申请日：2024-04-02
Applicant: TOPCON CORPORATION
Inventor： Song Mei , Toshihiro Mino , Dawei Li , Zaixing Mao , Zhenguo Wang , Kinpui Chan
CPC classification number: G06T5/50 , A61B5/0066 , A61B5/0261 , A61B5/489 , A61B5/7267 , A61B5/742 , G01B9/02041 , G01B9/02091 , G06T7/33 , G06T2200/04 , G06T2207/10101 , G06T2207/20081 , G06T2207/20221 , G06T2207/30104
Abstract: Optical coherence tomography (OCT) angiography (OCTA) data is generated by one or more machine learning systems to which OCT data is input. The OCTA data is capable of visualization in three dimensions (3D) and can be generated from a single OCT scan. Further, motion artifact can be removed or attenuated in the OCTA data by performing the OCT scans according to special scan patterns and/or capturing redundant data, and by the one or more machine learning systems.
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公开(公告)号：US11684253B2
公开(公告)日：2023-06-27
申请号：US16855393
申请日：2020-04-22
Applicant: TOPCON CORPORATION
Inventor： Zaixing Mao , Zhenguo Wang , Bin Cao , Kinpui Chan
CPC classification number: A61B3/101 , A61B3/0025 , A61B3/14 , G01B9/02041 , G01B9/02083 , G01B11/06 , G01J3/45
Abstract: A method for determining thickness of layers of the tear film includes reconstructing a full- or hyper-spectral interference pattern from an imaged multi-spectral pattern. Tear film thickness can then be estimated from the full- or hyper-spectral interference pattern. Using a full- or hyper-spectral interference pattern provides a greater number of frequency sampling points for increased tear film thickness estimation accuracy, without traditional time consuming techniques.
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公开(公告)号：US20190259163A1
公开(公告)日：2019-08-22
申请号：US16277319
申请日：2019-02-15
Applicant: Topcon Corporation
Inventor： Zaixing Mao , Zhenguo Wang , Kinpui Chan , Yasufumi Fukuma
Abstract: A machine learning model is trained to identify the texture difference between the different layers of a multilayer object. By training with data in full 3D space, the resulting model is capable of predicting the probability that each pixel in a 3D image belongs to a certain layer. With the resulting probability map, comparing probabilities allows one to determine boundaries between layers, and/or other properties and useful information such as volume data.
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公开(公告)号：US11972544B2
公开(公告)日：2024-04-30
申请号：US17318233
申请日：2021-05-12
Applicant: TOPCON CORPORATION
Inventor： Song Mei , Toshihiro Mino , Dawei Li , Zaixing Mao , Zhenguo Wang , Kinpui Chan
CPC classification number: G06T5/50 , A61B5/0066 , A61B5/0261 , A61B5/489 , A61B5/7267 , A61B5/742 , G01B9/02041 , G01B9/02091 , G06T7/33 , G06T2200/04 , G06T2207/10101 , G06T2207/20081 , G06T2207/20221 , G06T2207/30104
Abstract: Optical coherence tomography (OCT) angiography (OCTA) data is generated by one or more machine learning systems to which OCT data is input. The OCTA data is capable of visualization in three dimensions (3D) and can be generated from a single OCT scan. Further, motion artifact can be removed or attenuated in the OCTA data by performing the OCT scans according to special scan patterns and/or capturing redundant data, and by the one or more machine learning systems.
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