System and method for magnetic resonance imaging
AssigneeShanghai United Imaging Healthcare Co., Ltd.
InventorsYu Ding, Renjie He
Life of this patent
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Abstract
The disclosure relates to a system and method for correcting inhomogeneity in an MRI image. The method may include the steps of: acquiring a first set of k-space data, acquiring a second set of k-space data, generating the convolution kernel of the first set of k-space data based on the first set of k-space data and the second set of k-space data, performing inverse Fourier transform on the convolution kernel of the first set of k-space data to obtain an inversely transformed convolution kernel of the first set of k-space data, and generating a corrector based on the inversely transformed convolution kernel of the first set of k-space data. The method may be implemented on a machine including at least one processor and storage.
Claims19
A system comprising:
- a storage configured to store instructions, a first set of k-space data relating to a first region of a subject acquired using one or more first coils, and a second set of k-space data relating to the first region of the subject acquired using one or more second coils and
- at least one processor configured to execute the instructions, wherein when executing the instructions, the at least one processor causes the system to performing operations including:
- generating a convolution kernel of the first set of k-space data based on the first set of k-space data and the second set of k-space data;
- performing inverse Fourier transform on the convolution kernel of the first set of k-space data to obtain an inversely transformed convolution kernel of the first set of k-space data;
- generating a corrector based on the inversely transformed convolution kernel of the first set of k-space data;
- and
- storing, in the storage, the corrector in electronic form as a data file,
- wherein the corrector is adapted for correcting an image relating to the one or more first coils.
A method comprising:
- acquiring, by one or more first coils, a first set of k-space data relating to a first region of a subject;
- acquiring, by one or more second coils, a second set of k-space data relating to the first region of the subject;
- generating a convolution kernel of the first set of k-space data based on the first set of k-space data and the second set of k-space data;
- performing inverse Fourier transform on the convolution kernel of the first set of k-space data to obtain an inversely transformed convolution kernel of the first set of k-space data;
- generating a corrector based on the inversely transformed convolution kernel of the first set of k-space data;
- and
- storing the corrector in electronic form as a data file,
- wherein the corrector is adapted for correcting an image relating to the one or more first coils.
A method implemented on a device having a processor and a storage device, the method comprising:
- acquiring, by a coil, an image data set relating to a region of a subject;
- obtaining a first corrector based on a convolution kernel of a first set of k-space data, the first set of k-space data being acquired by the coil;
- and
- correcting the image data set using the first corrector;
- wherein the obtaining a first corrector comprising:
- performing a pre-scan of the region of the subject to provide the first set of k-space data relating to the region of a subject, and a second set of k-space data relating to the region of the subject;
- generating the convolution kernel of the first set of k-space data based on the first set of k-space data and the second set of k-space data;
- performing inverse Fourier transform on the convolution kernel of the first set of k-space data to obtain an inversely transformed convolution kernel of the first set of k-space data;
- and
- generating the first corrector based on the inversely transformed convolution kernel of the first set of k-space data.
Dependencies are inferred from the claim text.