Quantitative susceptibility mapping image processing method using neural network based on unsupervised learning and apparatus therefor
US12354190B2 · kind B2 · utility
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Key dates
| Filing date | Apr 1, 2022 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Oct 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a quantitative susceptibility mapping image processing method using an unsupervised learning-based neural network and an apparatus therefor. The quantitative susceptibility mapping image processing method includes receiving a phase image and a magnitude image for reconstructing the quantitative susceptibility mapping image, and reconstructing the quantitative susceptibility mapping image corresponding to the received phase image and the received magnitude image using an unsupervised learning-based neural network, and the neural network may be generated based on an optimal transport theory.
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