Method and device for generating fat suppression magnetic resonance image using generative adversarial neural network based on the Bloch equation
US11874357B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 13, 2022 |
| Grant date | Jan 16, 2024 |
| Priority date | — |
| Expiry date | Aug 26, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
The disclosed technology relates to a method and device for generating a fat suppression magnetic resonance image. The method includes: inputting, by an imaging device, a magnetic resonance image to an encoder of a neural network to extract features of the magnetic resonance image; and generating, by a generator of the neural network, a T2-weighted fat suppression image based on the features, in which the neural network is trained according to a result of discriminating, by a discriminator of the neural network, a loss due to a generation of a T2-weighted fat suppression image and as a result of reconstructing, by a decoder, the magnetic resonance image input to the encoder using a Bloch equation before the magnetic resonance image is input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.