Deep encoder-decoder models for reconstructing biomedical images
US12148073B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 22, 2019 |
| Grant date | Nov 19, 2024 |
| Priority date | — |
| Expiry date | Jan 31, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/441
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure is directed to systems and methods for reconstructing biomedical images. A projection preparer may identify a projection dataset derived from a tomographic biomedical imaging scan. An encoder-decoder model may reconstruct reconstructing tomographic biomedical images from projection data. The encoder-decoder model may include an encoder. The encoder may include a first series of transform layers to generate first feature maps using the projection dataset. The encoder-decoder may include a decoder. The decoder may include a second series of transform layers to generate second features maps using the first feature maps from the encoder. The system may include a reconstruction engine executable on the one or more processors. The reconstruction engine may apply the encoder-decoder model to the projection dataset to generate a reconstructed tomographic biomedical image based on the second feature maps generated by the decoder of the encoder-decoder model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.