公开(公告)号：US11009578B2

公开(公告)日：2021-05-18

申请号：US16514906

申请日：2019-07-17

Applicant: GE Precision Healthcare LLC

Inventor： Dawei Gui ,  Xiaoli Zhao ,  Ling Sun ,  Haonan Wang ,  Wei Sun

IPC: G06K9/00 ,  A61B6/00 ,  G01R33/565 ,  G06T5/00 ,  G06T7/194 ,  G01R33/56 ,  G06N3/08 ,  G01R33/58

Abstract: Methods and systems are provided for predicting B1+ field maps from magnetic resonance calibration images using deep neural networks. In an exemplary embodiment a method for magnetic resonance imaging comprises, acquiring a magnetic resonance (MR) calibration image of an anatomical region, mapping the MR calibration image to a transmit field map (B1+ field map) with a trained deep neural network, acquiring a diagnostic MR image of the anatomical region, and correcting inhomogeneities of a transmit field in the diagnostic MR image with the B1+ field map. Further, methods and systems are provided for collecting and processing training data, as well as utilizing the training data to train a deep learning network to predict B1+ field maps from MR calibration images.

公开(公告)号：US20210018583A1

公开(公告)日：2021-01-21

申请号：US16514906

申请日：2019-07-17

Applicant: GE Precision Healthcare LLC

Inventor： Dawei Gui ,  Xiaoli Zhao ,  Ling Sun ,  Haonan Wang ,  Wei Sun

IPC: G01R33/565 ,  G06T5/00 ,  G06T7/194 ,  G01R33/56 ,  G01R33/58 ,  G06N3/08

Abstract: Methods and systems are provided for predicting B1+ field maps from magnetic resonance calibration images using deep neural networks. In an exemplary embodiment a method for magnetic resonance imaging comprises, acquiring a magnetic resonance (MR) calibration image of an anatomical region, mapping the MR calibration image to a transmit field map (B1+ field map) with a trained deep neural network, acquiring a diagnostic MR image of the anatomical region, and correcting inhomogeneities of a transmit field in the diagnostic MR image with the B1+ field map. Further, methods and systems are provided for collecting and processing training data, as well as utilizing the training data to train a deep learning network to predict B1+ field maps from MR calibration images.