Automated macular pathology diagnosis in three-dimensional (3D) spectral domain optical coherence tomography (SD-OCT) images
US8712505B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 11, 2011 |
| Grant date | Apr 29, 2014 |
| Priority date | — |
| Expiry date | Feb 26, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/467
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods of analyzing an optical coherence tomography image of a retina are discussed. A 2-dimensional slice of the image can be aligned to produce an approximately horizontal image of the retina and an edge map based at least in part on the aligned slice. Also, at least one global representation can be determined based on a (multi-scale) spatial division, such as multi-scale spatial pyramid, on the slice and/or edge map. Creating the local features is based on the specified cell structure of the global representation. The local features can be constructed based on local binary pattern (LBP)-based features. Additionally, a slice can be categorized into one or more categories via one or more classifiers (e.g., support vector machines). Each category can be associated with at least one ocular pathology, and classifying can be based on the constructed global descriptors, which can include the LBP-based local descriptors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.