Patent · US Active

Multi-contrast MRI image reconstruction using machine learning

US11181598B2 · kind B2 · utility

2Cited by

0References

20Claims

0Family size

Assignees

Siemens Healthcare Limited · DE
The General Hospital Corporation · US

Inventors

Daniel Polak · Cambridge, US
Kawin Setsompop · Boston, US

Key dates

Filing date	Apr 24, 2020
Grant date	Nov 23, 2021
Priority date	—
Expiry date	May 21, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG01R33/5611
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

A computer-implemented method for reconstructing a MRI image, including: receiving a plurality of MRI measurement data sets ƒ1 to ƒN, wherein each data set is acquired from an examination object based on a different MRI protocol of an MRI system; receiving MRI images u10 to uN0 corresponding to the MRI measurement data sets ƒ1 to ƒN; applying, in at least a first step GD1, trained functions to the MRI images u10 to uN0, using a neural network and a forward-sampling operator, wherein at least one output MRI image uT is generated; and providing the at least one output MRI image uT, wherein the forward-sampling operator determines an agreement between at least one MRI image u10 to uN0 and the corresponding MRI measurement data set ƒ1 to ƒN.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.