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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:US11751762B2
公开(公告)日:2023-09-12
申请号:US16719305
申请日:2019-12-18
Applicant: Topcon Corporation
Inventor: Jongsik Kim , Ying Dong , Song Mei , Kinpui Chan , Zhenguo Wang , Zaixing Mao
CPC classification number: A61B3/102 , A61B3/1225 , A61B3/14 , G01N21/17 , G01N2021/1787
Abstract: A low coherence imaging method comprises acquiring image data of an object with an interferometric imaging system, where the image data is from a location of the object at first and second times; determining a first depth profile from the image data from the location at the first time and a second depth profile from the image data of the location at the second time; determining a change with respect to depth between the first and second depth profiles; and determining a property, or identifying a location, of at least one dynamic particle in the object based on the change between the first and second depth profiles. The method is able to identify, analyze, and/or visualize dynamic particles with features comparable to at least fluorescein angiography, indocyanine green angiography, confocal scanning laser fluorescein angiography, confocal scanning laser indocyanine green angiography, and fluorescence microscopy images, without the use of a dye.
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13.
公开(公告)号:US11361481B2
公开(公告)日:2022-06-14
申请号:US16574453
申请日:2019-09-18
Applicant: Topcon Corporation
Inventor: Song Mei , Zaixing Mao , Ying Dong , Zhenguo Wang , Kinpui Chan
Abstract: Shadows caused by opacities and obstructions (such as blood vessels) can block detection of structural information of objects below the shadow-causing structure, affecting visualization and analysis of those deeper structures. An image processing method for removing these shadows includes applying a low pass filter to an energy profile of an image to remove high frequency fluctuations in energy, thereby effectively recovering lower energy inside shadow regions and removing high frequency speckle. The image is then adjusted, for example by linear scaling, based on the filtered energy profile. Two dimensional filters may also be applied for volumes.
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14.
公开(公告)号:US20210082163A1
公开(公告)日:2021-03-18
申请号:US16574453
申请日:2019-09-18
Applicant: Topcon Corporation
Inventor: Song Mei , Zaixing Mao , Ying Dong , Zhenguo Wang , Kinpui Chan
Abstract: Shadows caused by opacities and obstructions (such as blood vessels) can block detection of structural information of objects below the shadow-causing structure, affecting visualization and analysis of those deeper structures. An image processing method for removing these shadows includes applying a low pass filter to an energy profile of an image to remove high frequency fluctuations in energy, thereby effectively recovering lower energy inside shadow regions and removing high frequency speckle. The image is then adjusted, for example by linear scaling, based on the filtered energy profile. Two dimensional filters may also be applied for volumes.
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公开(公告)号:US20210082116A1
公开(公告)日:2021-03-18
申请号:US17103058
申请日:2020-11-24
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:US20200279352A1
公开(公告)日:2020-09-03
申请号:US16797848
申请日:2020-02-21
Applicant: Topcon Corporation
Inventor: Zaixing Mao , Zhenguo Wang , Kinpui Chan
Abstract: Ophthalmological mages generated by coherent imaging modalities have multiple types of noise, including random noise caused by the imaging system and speckle noise caused by turbid objects such as living tissues. These noises can occur at different levels in different locations. A noise-reduction method and system of the present disclosure thus relates to applying different filters for different types of noise and/or different locations of images, sequentially or in parallel and combined, to produce a final noise-reduced image.
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公开(公告)号:US20190206054A1
公开(公告)日:2019-07-04
申请号:US16212027
申请日:2018-12-06
Applicant: Topcon Corporation
Inventor: Zaixing Mao , Zhenguo Wang , Kinpui Chan , Jonathan Liu , Jongsik Kim
CPC classification number: G06T7/0014 , A61B3/102 , A61B3/12 , G06K9/4628 , G06K9/627 , G06K2209/05 , G06T7/0012 , G06T7/73 , G06T11/008 , G06T2207/10101 , G06T2207/20081 , G06T2207/30041
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:US12186020B2
公开(公告)日:2025-01-07
申请号:US17594552
申请日:2020-04-24
Applicant: Topcon Corporation
Inventor: Zhenguo Wang , Zaixing Mao , Kazuhiro Oomori , Makoto Fujino
Abstract: An ophthalmologic apparatus includes: an objective lens that faces a subject's eye; an alignment light emitting unit that irradiates the subject's eye with alignment light to perform measurement of alignment between the objective lens and the subject's eye; an alignment reflection light receiving unit that receives alignment reflection light, which is a reflection of the alignment light from the subject's eye; an anterior segment camera that receives corneal reflection light; and a holder positioned between the anterior segment camera and the objective lens to hold the anterior segment camera, wherein the holder includes an imaging transmissive portion that transmits the corneal reflection light to the anterior segment camera, a first light-transmissive portion that transmits the alignment light from the alignment light emitting unit, and a second light-transmissive portion that transmits the alignment reflection light from the subject's eye.
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公开(公告)号:US12161409B2
公开(公告)日:2024-12-10
申请号:US17669388
申请日:2022-02-11
Inventor: Zaixing Mao , Kyoko Ohno-Matsui , Hiroyuki Takahashi , Noriko Nakao
Abstract: A medical diagnostic apparatus includes a receiver circuit that receives three-dimensional data of an eye, and processing circuitry configured to segment the three-dimensional data into regions that include a target structural element and regions that do not include the target structural element to produce a segmented three-dimensional data set. The segmenting is performed using a plurality of segmentation algorithms. Each of the plurality of segmentation algorithms is trained separately on different two-dimensional data extracted from the three-dimensional data. The processing circuitry is further configured to generate at least one metric from the segmented three-dimensional data set, and evaluate a medical condition based on the at least one metric.
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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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