Artificial intelligence for evaluation of optical coherence tomography images
US11393094B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 10, 2021 |
| Grant date | Jul 19, 2022 |
| Priority date | — |
| Expiry date | Aug 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.