Invention Grant
- Patent Title: MRI system and method using neural network for detection of patient motion
-
Application No.: US16394791Application Date: 2019-04-25
-
Publication No.: US10996306B2Publication Date: 2021-05-04
- Inventor: Isabelle Heukensfeldt Jansen , Sangtae Ahn , Christopher Judson Hardy , Itzik Malkiel , Rafael Shmuel Brada , Ron Wein , Michael Rotman
- Applicant: General Electric Company
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- Agency: Fletcher Yorder, P.C.
- Main IPC: G06T7/20
- IPC: G06T7/20 ; G01R33/565 ; G01R33/56 ; G01R33/48 ; G06T11/00 ; G06T7/00 ; G06K9/62 ; G06N3/08

Abstract:
A magnetic resonance imaging (MRI) system includes control and analysis circuitry having programming to acquire magnetic resonance (MR) data using coil elements of the MRI system, analyze the MR data, and reconstruct the MR data into MR sub-images. The system also includes a trained neural network associated with the control and analysis circuitry to transform the MR sub-images into a prediction relating to a presence and extent of motion corruption in the MR sub-images. The programming of the control and analysis circuitry includes instructions to control operations of the MRI system based at least in part on the prediction of the trained neural network.
Public/Granted literature
- US20200341100A1 MRI SYSTEM AND METHOD USING NEURAL NETWORK FOR DETECTION OF PATIENT MOTION Public/Granted day:2020-10-29
Information query