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公开(公告)号：US10436858B2
公开(公告)日：2019-10-08
申请号：US15532680
申请日：2015-12-02
Applicant: General Electric Company
Inventor： Dattesh Dayanand Shanbhag , Rakesh Mullick , Sheshadri Thiruvenkadam , Florian Wiesinger , Sudhanya Chatterjee , Kevin Matthew Koch
Abstract: An imaging system and method are disclosed. An MR image and measured B0 field map of a target volume in a subject are reconstructed, where the MR image includes one or more bright and/or dark regions. One or more distinctive constituent materials corresponding to the bright regions are identified. Each dark region is iteratively labeled as one or more ambiguous constituent materials. Susceptibility values corresponding to each distinctive and iteratively labeled ambiguous constituent material is assigned. A simulated B0 field map is iteratively generated based on the assigned susceptibility values. A similarity metric is determined between the measured and simulated B0 field maps. Constituent materials are identified in the dark regions based on the similarity metric to ascertain corresponding susceptibility values. The MRI data is corrected based on the assigned and ascertained susceptibility values. A diagnostic assessment of the target volume is determined based on the corrected MRI data.
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公开(公告)号：US09727953B2
公开(公告)日：2017-08-08
申请号：US14755793
申请日：2015-06-30
Applicant: General Electric Company
Inventor： Weitian Chen , Robert Donald Peters , Zachary William Slavens , Kevin Matthew Koch
IPC: G06K9/00 , G06T5/00 , G06T7/00 , G06T5/20 , G01R33/565
CPC classification number: G06T5/002 , G01R33/56536 , G06T5/20 , G06T7/0012 , G06T2207/10088
Abstract: An apparatus for detecting and repairing a ring artifact in a multi-spectral magnetic resonance image includes an image processor, which is configured to obtain an off-resonance magnetic field map and a deblurred composite image, to calculate a spatial gradient of the image based on the magnetic field map, to kernel search the spatial gradient, to mask the image, based on the kernel search, in order to identify voxels affected by a ring artifact, and to apply a filter in order to smooth intensities of the voxels identified by the image mask.
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公开(公告)号：US10794978B2
公开(公告)日：2020-10-06
申请号：US15947291
申请日：2018-04-06
Applicant: General Electric Company , MEDICAL COLLEGE OF WISCONSIN
Inventor： Suryanarayanan Sivaran Kaushik , Kevin Matthew Koch
IPC: G01R33/56 , G01R33/483 , A61B5/00 , G01R33/565 , A61B5/055
Abstract: A method for correcting one or more artifacts within a multi-spectral magnetic resonance image is provided. The method includes acquiring a plurality of spectral bins each including a plurality of voxels and corresponding to a different frequency of MR signals emitted by an imaged object. The plurality of voxels of each spectral bin correspond to the frequency of the spectral bin so as to define a spatial coverage of the spectral bin. The method further includes expanding each spectral bin by increasing the spatial coverage of the spectral bin, and generating the multi-spectral magnetic resonance image based at least in part on the expanded spectral bins.
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公开(公告)号：US20170371010A1
公开(公告)日：2017-12-28
申请号：US15532680
申请日：2015-12-02
Applicant: General Electric Company
Inventor： Dattesh Dayanand Shanbhag , Rakesh Mullick , Sheshadri Thiruvenkadam , Florian Wiesinger , Sudhanya Chatterjee , Kevin Matthew Koch
CPC classification number: G01R33/243 , A61B5/0035 , A61B5/055 , G01R33/481 , G01R33/4816 , G01R33/5608 , G01R33/56536
Abstract: An imaging system and method are disclosed. An MR image and measured B0 field map of a target volume in a subject are reconstructed, where the MR image includes one or more bright and/or dark regions. One or more distinctive constituent materials corresponding to the bright regions are identified. Each dark region is iteratively labeled as one or more ambiguous constituent materials. Susceptibility values corresponding to each distinctive and iteratively labeled ambiguous constituent material is assigned. A simulated B0 field map is iteratively generated based on the assigned susceptibility values. A similarity metric is determined between the measured and simulated B0 field maps. Constituent materials are identified in the dark regions based on the similarity metric to ascertain corresponding susceptibility values. The MRI data is corrected based on the assigned and ascertained susceptibility values. A diagnostic assessment of the target volume is determined based on the corrected MRI data.
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