Hierrarchical mapping framework for coil compression in magnetic resonance image reconstruction
US10310042B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 23, 2015 |
| Grant date | Jun 4, 2019 |
| Priority date | — |
| Expiry date | Sep 8, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01R33/3664
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Systems and methods for a hierarchical mapping framework (“HMF”} for coil compression are provided. The HMF-based coil compression can be applied to existing coil compression algorithms to improve their performance. The receive channels associated with a coil array are divided into subgroups based on the strength of their mutual correlation. In each subgroup, one or more virtual channels are produced based on the channels not in the subgroup. The virtual channels are produced using a coil compression algorithm subject to a hierarchically semiseparable channel mixing across the subgroups. Images are reconstructed for the subgroups and then combined to produce the final image of the subject.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.