SYSTEM AND METHOD FOR OPTICAL COHERENCE TOMOGRAPHY A-SCAN DECURVING

    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.

    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.

    SYSTEM FOR OPTICAL COHERENCE TOMOGRAPHY A-SCAN DECURVING

    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.

    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.

    ARTIFICIAL INTELLIGENCE FOR EVALUATION OF OPTICAL COHERENCE TOMOGRAPHY IMAGES

    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.

    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.

    ARTIFICIAL INTELLIGENCE FOR EVALUATION OF OPTICAL COHERENCE TOMOGRAPHY IMAGES

    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.

    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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