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

Claim 11:
12. 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; and
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,
wherein the trained machine learning system is trained to identify structural vasculature information in the OCT data from the single scan,
wherein the 3D OCTA data comprises the identified structural vasculature information, and
wherein ground truth training data for the at least one machine learning system comprises OCTA B-frames generated by determining a difference or ratio between repeated OCT scans at a same location of the object, or the ground truth training data for the at least one machine learning system comprises angiographic B-frames or volumes generated from an imaging modality other than OCT.