Systems and methods of generating robust phase images in magnetic resonance images
US11346912B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 23, 2020 |
| Grant date | May 31, 2022 |
| Priority date | — |
| Expiry date | Jul 23, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01R33/56509
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A computer-implemented method of correcting phase and reducing noise in magnetic resonance (MR) phase images is provided. The method includes executing a neural network model for analyzing MR images, wherein the neural network model is trained with a pair of pristine images and corrupted images, wherein the corrupted images include corrupted phase information, the pristine images are the corrupted images with the corrupted phase information reduced, and target output images of the neural network model are the pristine images. The method further includes receiving MR images including corrupted phase information, and analyzing the received MR images using the neural network model. The method also includes deriving pristine phase images of the received MR images based on the analysis, wherein the derived pristine phase images include reduced corrupted phase information, compared to the received MR images, and outputting MR images based on the derived pristine phase images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.