System and method for artifact reduction of computed tomography reconstruction leveraging artificial intelligence and a priori known model for the object of interest
US12406104B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 3, 2021 |
| Grant date | Sep 2, 2025 |
| Priority date | — |
| Expiry date | Jul 4, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/452
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Nondestructive evaluation (NDE) of objects can elucidate impacts of various process parameters and qualification of the object. Computed tomography (CT) enables rapid NDE and characterization of objects. However, CT presents challenges because of artifacts produced by standard reconstruction algorithms. Beam-hardening artifacts especially complicate and adversely impact the process of detecting defects. By leveraging computer-aided design (CAD) models, CT simulations, and a deep-neutral network high-quality CT reconstructions that are affected by noise and beam-hardening can be simulated and used to improve reconstructions. The systems and methods of the present disclosure can significantly improve the reconstruction quality, thereby enabling better detection of defects compared with the state of the art.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.