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公开(公告)号：US10996306B2
公开(公告)日：2021-05-04
申请号：US16394791
申请日：2019-04-25
Applicant: General Electric Company
Inventor： Isabelle Heukensfeldt Jansen , Sangtae Ahn , Christopher Judson Hardy , Itzik Malkiel , Rafael Shmuel Brada , Ron Wein , Michael Rotman
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.
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公开(公告)号：US20200341100A1
公开(公告)日：2020-10-29
申请号：US16394791
申请日：2019-04-25
Applicant: General Electric Company
Inventor： Isabelle Heukensfeldt Jansen , Sangtae Ahn , Christopher Judson Hardy , Itzik Malkiel , Rafael Shmuel Brada , Ron Wein , Michael Rotman
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.
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