公开(公告)号：US11828824B2

公开(公告)日：2023-11-28

申请号：US17204531

申请日：2021-03-17

申请人： GE PRECISION HEALTHCARE LLC

发明人： Xucheng Zhu ,  Graeme Colin McKinnon ,  Andrew James Coristine ,  Martin Andreas Janich

IPC分类号： G01R33/561 ,  G01R33/48 ,  G06N3/02 ,  G06N3/0464 ,  G06T11/00 ,  G16H30/40 ,  G01R33/58

CPC分类号： G01R33/5611 ,  G01R33/4818 ,  G01R33/58 ,  G06N3/02 ,  G06N3/0464 ,  G06T11/003 ,  G06T11/005 ,  G16H30/40

摘要： Image reconstruction systems and methods include providing sensitivity maps for coils of a magnetic resonance imaging (MRI) system to a neural network. The systems and methods also include providing interleaved k-space data to the neural network, wherein the interleaved k-space data includes partial k-space data interleaved with zeros, or synthesized k-space data, to provide an extended field of view (FOV) different from a FOV utilized during acquisition of the partial k-space data, wherein the partial k-space data were obtained during a scan of a region of interest with the MRI system. The systems and methods further include outputting, from the neural network, a final reconstructed MR image based at least on the sensitivity maps and the interleaved k-space data, wherein the final reconstructed MR image includes the FOV utilized during the acquisition of the partial k-space data.

公开(公告)号：US20220299588A1

公开(公告)日：2022-09-22

申请号：US17204531

申请日：2021-03-17

申请人： GE PRECISION HEALTHCARE LLC

发明人： Xucheng Zhu ,  Graeme Colin McKinnon ,  Andrew James Coristine ,  Martin Andreas Janich

IPC分类号： G01R33/561 ,  G01R33/48 ,  G01R33/58 ,  G06N3/02 ,  G16H30/40

摘要： Image reconstruction systems and methods include providing sensitivity maps for coils of a magnetic resonance imaging (MRI) system to a neural network. The systems and methods also include providing interleaved k-space data to the neural network, wherein the interleaved k-space data includes partial k-space data interleaved with zeros, or synthesized k-space data, to provide an extended field of view (FOV) different from a FOV utilized during acquisition of the partial k-space data, wherein the partial k-space data were obtained during a scan of a region of interest with the MRI system. The systems and methods further include outputting, from the neural network, a final reconstructed MR image based at least on the sensitivity maps and the interleaved k-space data, wherein the final reconstructed MR image includes the FOV utilized during the acquisition of the partial k-space data.