Super-resolution anatomical magnetic resonance imaging using deep learning for cerebral cortex segmentation
US11449989B2 · kind B2 · utility
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Key dates
| Filing date | Mar 26, 2020 |
| Grant date | Sep 20, 2022 |
| Priority date | — |
| Expiry date | Apr 24, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30016
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Super-resolution images are generated from standard-resolution images acquired with a magnetic resonance imaging (“MRI”) system. More particularly, super-resolution (e.g., sub-millimeter isotropic resolution) images are generated from standard-resolution images (e.g., images with 1 mm or coarser isotropic resolution) using a deep learning algorithm, from which accurate cortical surface reconstructions can be generated.
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