Magnetic resonance image reconstruction system and method
US10133964B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 28, 2017 |
| Grant date | Nov 20, 2018 |
| Priority date | — |
| Expiry date | Jul 28, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/10088
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method for training a system for reconstructing a magnetic resonance image includes: under-sampling image data from each of a plurality of fully-sampled images; and inputting the under-sampled image data to a multi-scale neural network comprising sequentially connected layers. Each layer has an input for receiving input image data and an output for outputting reconstructed image data. Each layer performs a process comprising: decomposing the array of input image data; applying a thresholding function to the decomposed image data, to form a shrunk data, the thresholding function outputting a value asymptotically approaching one when the thresholding function receives an input having a magnitude greater than a first value, reconstructing the shrunk data for combining with a reconstructed image data output by another one of the layers to form updated reconstructed image data, and machine-learning at least one parameter of the decomposing, the thresholding function, or the reconstructing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.