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公开(公告)号:US20200058106A1
公开(公告)日:2020-02-20
申请号:US16541511
申请日:2019-08-15
申请人: Carole Lazarus , Prantik Kundu , Sunli Tang , Seyed Sadegh Moshen Salehi , Michal Sofka , Jo Schlemper , Hadrien A. Dyvorne , Rafael O'Halloran , Laura Sacolick , Michael Stephen Poole , Jonathan M. Rothberg
发明人: Carole Lazarus , Prantik Kundu , Sunli Tang , Seyed Sadegh Moshen Salehi , Michal Sofka , Jo Schlemper , Hadrien A. Dyvorne , Rafael O'Halloran , Laura Sacolick , Michael Stephen Poole , Jonathan M. Rothberg
摘要: Techniques for removing artefacts, such as RF interference and/or noise, from magnetic resonance data. The techniques include: obtaining input magnetic resonance (MR) data using at least one radio-frequency (RF) coil of a magnetic resonance imaging (MRI) system; and generating an MR image from input MR data at least in part by using a neural network model to suppress at least one artefact in the input MR data.
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公开(公告)号:US20200034998A1
公开(公告)日:2020-01-30
申请号:US16524598
申请日:2019-07-29
申请人: Jo Schlemper , Seyed Sadegh Moshen Salehi , Michal Sofka , Prantik Kundu , Ziyi Wang , Carole Lazarus , Hadrien A. Dyvorne , Laura Sacolick , Rafael O'Halloran , Jonathan M. Rothberg
发明人: Jo Schlemper , Seyed Sadegh Moshen Salehi , Michal Sofka , Prantik Kundu , Ziyi Wang , Carole Lazarus , Hadrien A. Dyvorne , Laura Sacolick , Rafael O'Halloran , Jonathan M. Rothberg
摘要: A magnetic resonance imaging (MRI) system, comprising: a magnetics system comprising: a B0 magnet configured to provide a B0 field for the MRI system; gradient coils configured to provide gradient fields for the MRI system; and at least one RF coil configured to detect magnetic resonance (MR) signals; and a controller configured to: control the magnetics system to acquire MR spatial frequency data using non-Cartesian sampling; and generate an MR image from the acquired MR spatial frequency data using a neural network model comprising one or more neural network blocks including a first neural network block, wherein the first neural network block is configured to perform data consistency processing using a non-uniform Fourier transformation.
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公开(公告)号:US20200033431A1
公开(公告)日:2020-01-30
申请号:US16524638
申请日:2019-07-29
申请人: Jo Schlemper , Seyed Sadegh Moshen Salehi , Michal Sofka , Prantik Kundu , Ziyi Wang , Carole Lazarus , Hadrien A. Dyvorne , Laura Sacolick , Rafael O'Halloran , Jonathan M. Rothberg
发明人: Jo Schlemper , Seyed Sadegh Moshen Salehi , Michal Sofka , Prantik Kundu , Ziyi Wang , Carole Lazarus , Hadrien A. Dyvorne , Laura Sacolick , Rafael O'Halloran , Jonathan M. Rothberg
摘要: A magnetic resonance imaging (MRI) system, comprising: a magnetics system comprising: a B0 magnet configured to provide a B0 field for the MRI system; gradient coils configured to provide gradient fields for the MRI system; and at least one RF coil configured to detect magnetic resonance (MR) signals; and a controller configured to: control the magnetics system to acquire MR spatial frequency data using non-Cartesian sampling; and generate an MR image from the acquired MR spatial frequency data using a neural network model comprising one or more neural network blocks including a first neural network block, wherein the first neural network block is configured to perform data consistency processing using a non-uniform Fourier transformation.
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