Deep learning-assisted image reconstruction for tomographic imaging
US12039639B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 27, 2022 |
| Grant date | Jul 16, 2024 |
| Priority date | — |
| Expiry date | Dec 16, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/441
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods reconstruct an image of a subject or object by performing an iterative reconstruction method to produce a plurality of intermediate images and the image of the subject, and transforming at least one selected intermediate image from the plurality of intermediate images using a quasi-projection operator. The quasi-projection operator includes a deep-learning model configured to map the at least one selected intermediate image to at least one regularized intermediate image. In addition, systems and methods for training the deep-learning model using a training data set that includes a plurality of training images and a plurality of corresponding training object images is disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.