Patent · US Active

Coil mixing error matrix and deep learning for prospective motion assessment

US11630177B2 · kind B2 · utility

0Cited by

0References

20Claims

0Family size

Assignees

Siemens Healthcare Limited · DE
The General Hospital Corporation · US

Inventors

Daniel Nicolas Splitthoff · Erlangen, DE
Julian Hossbach · Erlangen, DE
Daniel Polak · Cambridge, US
Stephen Farman Cauley · Cambridge, US
Bryan Clifford · Malden, US
Wei-Ching Lo · Boston, US

Key dates

Filing date	Apr 13, 2022
Grant date	Apr 18, 2023
Priority date	—
Expiry date	Apr 13, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG01R33/5676
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

Systems and Methods that identify the effect of motion during a medical imaging procedure. A neural network is trained to translate motion induced deviations of a coil-mixing matrix relative to a reference acquisition into a motion score. This score can be used for the prospective detection of the most corrupted echo trains for removal or triggering a replacement by reacquisition.

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