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

IPC: G06T5/50 ,  A61B5/00 ,  A61B5/026 ,  G01B9/02 ,  G01B9/02091 ,  G06T7/33

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.

公开(公告)号：US20210358096A1

公开(公告)日：2021-11-18

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

IPC: G06T5/50 ,  G01B9/02 ,  G06T7/33 ,  A61B5/00 ,  A61B5/026

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.

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

IPC: G06T5/50 ,  A61B5/00 ,  A61B5/026 ,  G01B9/02 ,  G01B9/02091 ,  G06T7/33

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.