Systems and methods of processing magnetic resonance images using phase-sensitive structural similarity index measure
US11756197B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 10, 2021 |
| Grant date | Sep 12, 2023 |
| Priority date | — |
| Expiry date | May 25, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method of processing complex magnetic resonance (MR) images is provided. The method includes receiving a pair of corrupted complex data and pristine complex images. The method also includes training a neural network model using the pair by inputting the corrupted complex data to the neural network model, setting the pristine complex images as target outputs, and processing the corrupted complex data using the neural network model to derive output complex images of the corrupted complex data. Training a neural network model also includes comparing the output complex images with the target outputs by computing a phase-sensitive structural similarity index measure (PS-SSIM) between each of the output complex images and its corresponding target complex image, wherein the PS-SSIM is real-valued and varies with phases of the output complex image and phases of the target complex image, and adjusting the neural network model based on the comparison.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.