Systems and methods for predicting B1+ maps from magnetic resonance calibration images
US11009578B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 17, 2019 |
| Grant date | May 18, 2021 |
| Priority date | — |
| Expiry date | Nov 28, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30004
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are provided for predicting B1+ field maps from magnetic resonance calibration images using deep neural networks. In an exemplary embodiment a method for magnetic resonance imaging comprises, acquiring a magnetic resonance (MR) calibration image of an anatomical region, mapping the MR calibration image to a transmit field map (B1+ field map) with a trained deep neural network, acquiring a diagnostic MR image of the anatomical region, and correcting inhomogeneities of a transmit field in the diagnostic MR image with the B1+ field map. Further, methods and systems are provided for collecting and processing training data, as well as utilizing the training data to train a deep learning network to predict B1+ field maps from MR calibration images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.