公开(公告)号：US12287385B2

公开(公告)日：2025-04-29

申请号：US17727206

申请日：2022-04-22

Applicant: GE PRECISION HEALTHCARE LLC

Inventor： Kang Wang ,  Robert Marc Lebel

IPC: G01R33/48 ,  G01R33/56 ,  G01R33/561 ,  G01R33/565 ,  G06T11/00 ,  G06V10/82

Abstract: A computer-implemented method of reducing noise in magnetic resonance (MR) images is provided. The method includes executing a neural network model of analyzing MR images, wherein the neural network model is trained with a pair of pristine images and corrupted images. The pristine images are the corrupted images with noise reduced, and target output images of the neural network model are the pristine images. The method also includes receiving first MR signals and second MR signals, reconstructing first and second MR images based on the first MR signals and the second MR signals, and analyzing the first MR image and the second MR image using the neural network model. The method further includes deriving a denoised MR image based on the analysis, wherein the denoised MR image is a combined image based on the first MR image and the second MR image and outputting the denoised MR image.

公开(公告)号：US12078696B2

公开(公告)日：2024-09-03

申请号：US17938465

申请日：2022-10-06

Applicant: GE Precision Healthcare LLC

Inventor： Xiaoli Zhao ,  Kang Wang ,  Hua Li ,  Zhenghui Zhang ,  Florian Wiesinger ,  Ty A. Cashen ,  Rolf Schulte

IPC: G01V3/00 ,  A61B5/055 ,  G01R33/20 ,  G01R33/561

CPC classification number: G01R33/20 ,  A61B5/055 ,  G01R33/5611

Abstract: A method for generating an image of an object with a magnetic resonance imaging (MM) system is presented. The method includes first performing a calibration scan of the object. The calibration scan is performed with a zero echo time (ZTE) radial sampling scheme to obtain calibration k-spaces for surface coil elements and a body coil of the MRI system. The calibration scan is performed in such a manner that the endpoints of calibration k-space lines in each calibration k-space follow a spiral path. A plurality of calibration parameters are then obtained from the plurality of calibration k-spaces. A second scan of the object is then performed to acquire the MR image data. The image of the object is then generated based on the plurality of calibration parameters and the MR image data.

公开(公告)号：US20230341490A1

公开(公告)日：2023-10-26

申请号：US17727206

申请日：2022-04-22

Applicant: GE PRECISION HEALTHCARE LLC

Inventor： Kang Wang ,  Robert Marc Lebel

IPC: G01R33/565 ,  G06T11/00 ,  G01R33/48 ,  G01R33/56 ,  G01R33/561 ,  G06V10/82

CPC classification number: G01R33/4828 ,  G01R33/4818 ,  G01R33/5608 ,  G01R33/5612 ,  G01R33/56554 ,  G06T11/008 ,  G06V10/82

Abstract: A computer-implemented method of reducing noise in magnetic resonance (MR) images is provided. The method includes executing a neural network model of analyzing MR images, wherein the neural network model is trained with a pair of pristine images and corrupted images. The pristine images are the corrupted images with noise reduced, and target output images of the neural network model are the pristine images. The method also includes receiving first MR signals and second MR signals, reconstructing first and second MR images based on the first MR signals and the second MR signals, and analyzing the first MR image and the second MR image using the neural network model. The method further includes deriving a denoised MR image based on the analysis, wherein the denoised MR image is a combined image based on the first MR image and the second MR image and outputting the denoised MR image.

公开(公告)号：US20240118356A1

公开(公告)日：2024-04-11

申请号：US17938465

申请日：2022-10-06

Applicant: GE Precision Healthcare LLC

Inventor： Xiaoli Zhao ,  Kang Wang ,  Hua Li ,  Zhenghui Zhang ,  Florian Wiesinger ,  Ty A. Cashen ,  Rolf Schulte

IPC: G01R33/20 ,  A61B5/055

CPC classification number: G01R33/20 ,  A61B5/055 ,  G01R33/5611

Abstract: A method for generating an image of an object with a magnetic resonance imaging (MM) system is presented. The method includes first performing a calibration scan of the object. The calibration scan is performed with a zero echo time (ZTE) radial sampling scheme to obtain calibration k-spaces for surface coil elements and a body coil of the MRI system. The calibration scan is performed in such a manner that the endpoints of calibration k-space lines in each calibration k-space follow a spiral path. A plurality of calibration parameters are then obtained from the plurality of calibration k-spaces. A second scan of the object is then performed to acquire the MR image data. The image of the object is then generated based on the plurality of calibration parameters and the MR image data.