Image standardization using generative adversarial networks
US10753997B2 · kind B2 · utility
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Key dates
| Filing date | Aug 3, 2018 |
| Grant date | Aug 25, 2020 |
| Priority date | — |
| Expiry date | Oct 5, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/094
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided for synthesizing protocol independent magnetic resonance images. A patient is scanned by a magnetic resonance imaging system to acquire magnetic resonance data. The magnetic resonance data is input to a machine learnt generator network trained to extract features from input magnetic resonance data and synthesize protocol independent images using the extracted features. The machine learnt generator network generates a protocol independent segmented magnetic resonance image from the input magnetic resonance data. The protocol independent magnetic resonance image is displayed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.