Tomographic reconstruction based on deep learning
US10475214B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 5, 2017 |
| Grant date | Nov 12, 2019 |
| Priority date | — |
| Expiry date | Jun 7, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/441
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present approach relates to the use of machine learning and deep learning systems suitable for solving large-scale, space-variant tomographic reconstruction and/or correction problems. In certain embodiments, a tomographic transform of measured data obtained from a tomography scanner is used as an input to a neural network. In accordance with certain aspects of the present approach, the tomographic transform operation(s) is performed separate from or outside the neural network such that the result of the tomographic transform operation is instead provided as an input to the neural network. In addition, in certain embodiments, one or more layers of the neural network may be provided as wavelet filter banks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.