Patent ID: 11972544
Assignee: TOPCON CORPORATION
Field: Medical technology (Instruments)
Classification: CPC G  A | IPC A  G

Claim 16:
17. An imaging method comprising:
obtaining optical coherence tomography (OCT) data from a single scan of the object inputting the OCT data from the single scan to at least one trained machine learning system;
generating three-dimensional (3D) OCT angiography (OCTA) data by the at least one trained machine learning system, the 3D OCTA data being an output from the at least one trained machine learning system;
obtaining second 3D OCTA data of the object;
inputting the generated 3D OCTA data and the second 3D OCTA to a longitudinal machine learning system trained to register the second 3D OCTA data to the generated 3D OCTA data and output the registered 3D OCTA data; and
determining a change in the object based on the registered 3D OCTA data,
wherein the trained machine learning system is trained to identify structural vasculature information in the OCT data from the single scan, and
wherein the 3D OCTA data comprises the identified structural vasculature information.