Material decomposition of multi-spectral x-ray projections using neural networks
US9808216B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 20, 2014 |
| Grant date | Nov 7, 2017 |
| Priority date | — |
| Expiry date | Feb 27, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/408
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of processing x-ray images comprises training an artificial neural network to process multi-spectral x-ray projections to determine composition information about an object in terms of equivalent thickness of at least one basis material. The method further comprises providing a multi-spectral x-ray projection of an object, wherein the multi-spectral x-ray projection of the object contains energy content information describing the energy content of the multi-spectral x-ray projection. The multi-spectral x-ray projection is then processed with the artificial neural network to determine composition information about the object, and then the composition information about the object is provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.