Method for differentiating retinal layers in oct image
US12380558B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 14, 2022 |
| Grant date | Aug 5, 2025 |
| Priority date | — |
| Expiry date | Jan 11, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30041
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for differentiating retinal layers includes obtaining an optical coherence tomography retinal layer image of an eye to be examined and inputting it into a deep neural network, calculating probability P that each pixel is included in each layer from the inputted layer image, calculating probability P1(x,y) that a pixel is in or above (k−1)-th layer and probability P2(x,y) that the pixel is in or below k-th layer from probabilities P(x,y) that the pixel is included in each layer, calculating probability Fk−1,k(x,y) that the pixel becomes a boundary line between the (k−1)-th layer and the k-th layer from P1(x,y) and P2(x,y), obtaining a node cost Ck−1,k(x,y) of the pixel by multiplying Fk−1,k(x,y) with an image brightness change ΔI at the pixel, and determining the boundary line between the (k−1)-th and k-th layers by connecting coordinates (x,y) of the pixels where Ck−1,k(x,y) calculated for each position x is the maximum.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.