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公开(公告)号:US20230363638A1
公开(公告)日:2023-11-16
申请号:US18040186
申请日:2021-08-10
Applicant: ACUCELA INC.
Inventor: Ryo KUBOTA , Stephan WYDER , Philip M. BUSCEMI , Matthias PFISTER , Cyril STOLLER
IPC: A61B3/10
CPC classification number: A61B3/102 , G01B9/02091
Abstract: An OCT system for measuring a retina as part of an eye health monitoring and diagnosis system. The OCT system includes an OCT interferometer, where the interferometer comprises a light source or measurement beam and a scanner for moving the beam on the retina of a patient's eye, and a processor configured to execute instructions to cause the scanner to move the measurement beam on the retina in a scan pattern. Measurement data may be processed using a decurving process to enhance the resolution of the ILM layer and provide improved determinations of retinal thickness.
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公开(公告)号:US20240225440A1
公开(公告)日:2024-07-11
申请号:US18615043
申请日:2024-03-25
Applicant: ACUCELA INC.
Inventor: Ryo KUBOTA , Stephan WYDER , Philip M. BUSCEMI , Matthias PFISTER , Cyril STOLLER
IPC: A61B3/10 , G01B9/02091
CPC classification number: A61B3/102 , G01B9/02091
Abstract: An OCT system for measuring a retina as part of an eye health monitoring and diagnosis system. The OCT system includes an OCT interferometer, where the interferometer comprises a light source or measurement beam and a scanner for moving the beam on the retina of a patient's eye, and a processor configured to execute instructions to cause the scanner to move the measurement beam on the retina in a scan pattern. Measurement data may be processed using a decurving process to enhance the resolution of the ILM layer and provide improved determinations of retinal thickness.
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公开(公告)号:US20220301161A1
公开(公告)日:2022-09-22
申请号:US17805299
申请日:2022-06-03
Applicant: ACUCELA INC.
Inventor: Stephan WYDER , Matthias PFISTER , Cyril STOLLER , Philip M. BUSCEMI
Abstract: A neural network is trained to segment interferogram images. A first plurality of interferograms are obtained, where each interferograms corresponds to data acquired by an OCT system using a first scan pattern, annotating each of the plurality of interferograms to indicate a tissue structure of a retina, training a neural network using the plurality of interferograms and the annotations, inputting a second plurality of interferograms corresponding to data acquired by an OCT system using a second scan pattern and obtaining an output of the trained neural network indicating the tissue structure of the retina that was scanned using the second scan pattern. The system and methods may instead receive a plurality of A-scans and output a segmented image corresponding to a plurality of locations along an OCT scan pattern.
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公开(公告)号:US20230206440A1
公开(公告)日:2023-06-29
申请号:US18177560
申请日:2023-03-02
Applicant: ACUCELA INC.
Inventor: Stephan WYDER , Matthias PFISTER , Cyril STOLLER , Philip M. BUSCEMI
CPC classification number: G06T7/0012 , G06T7/11 , G06T3/00 , G06N3/08 , G16H30/40 , G06T2207/20084 , G06T2207/10101 , G06T2207/30041 , G06T2207/20081 , G06V2201/03 , G06V10/82
Abstract: A neural network is trained to segment interferogram images. A first plurality of interferograms are obtained, where each interferograms corresponds to data acquired by an OCT system using a first scan pattern, annotating each of the plurality of interferograms to indicate a tissue structure of a retina, training a neural network using the plurality of interferograms and the annotations, inputting a second plurality of interferograms corresponding to data acquired by an OCT system using a second scan pattern and obtaining an output of the trained neural network indicating the tissue structure of the retina that was scanned using the second scan pattern. The system and methods may instead receive a plurality of A-scans and output a segmented image corresponding to a plurality of locations along an OCT scan pattern.
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公开(公告)号:US20220084197A1
公开(公告)日:2022-03-17
申请号:US17444806
申请日:2021-08-10
Applicant: ACUCELA INC.
Inventor: Stephan WYDER , Matthias PFISTER , Cyril STOLLER , Philip M. BUSCEMI
Abstract: A neural network is trained to segment interferogram images. A first plurality of interferograms are obtained, where each interferograms corresponds to data acquired by an OCT system using a first scan pattern, annotating each of the plurality of interferograms to indicate a tissue structure of a retina, training a neural network using the plurality of interferograms and the annotations, inputting a second plurality of interferograms corresponding to data acquired by an OCT system using a second scan pattern and obtaining an output of the trained neural network indicating the tissue structure of the retina that was scanned using the second scan pattern. The system and methods may instead receive a plurality of A-scans and output a segmented image corresponding to a plurality of locations along an OCT scan pattern.
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