Learning-based domain transformation for medical images
US12217417B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Sep 9, 2021 |
| Grant date | Feb 4, 2025 |
| Priority date | — |
| Expiry date | Jul 15, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/441
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems/techniques that facilitate learning-based domain transformation for medical images are provided. In various embodiments, a system can access a medical image. In various aspects, the medical image can depict an anatomical structure according to a first medical scanning domain. In various instances, the system can generate, via execution of a machine learning model, a predicted image based on the medical image. In various aspects, the predicted image can depict the anatomical structure according to a second medical scanning domain that is different from the first medical scanning domain. In some cases, the first and second medical scanning domains can be first and second energy levels of a computed tomography (CT) scanning modality. In other cases, the first and second medical scanning domains can be first and second contrast phases of the CT scanning modality.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.