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US 12,672,790 B2Granted
Method for generating a magnetic resonance image
AssigneesSiemens Healthineers AG, King's College London
InventorsAlexander Neofytou, Radhouene Neji, Kuberan Pushparajah, Sebastien Roujol
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Abstract
A method for generating a magnetic resonance image for diagnostic purposes takes segmented k-space data corresponding to a magnetic resonance scanner signal and determines, for each k-space segment, an image sharpness corresponding to a subspace of the k-space data generated by removing that k-space segment from the k-space data. The subspace with the highest sharpness is then used to generate the magnetic resonance image.
Claims13
A computer implemented method for generating a modified magnetic resonance image, the method comprising:
- receiving k-space data corresponding to a magnetic resonance scanner signal, wherein the k-space data is divided into a plurality of k-space segments, wherein the k-space data corresponds to at least two separate k-space acquisitions from a magnetic resonance scanner, and wherein the receiving of the k-space data further comprises:
- removing, from the k-space data, a central k-space segment of a first k-space acquisition of the at least two separate k-space acquisitions;
- and retaining, in the k-space data, a central k-space segment of a second k-space acquisition of the at least two separate k-space acquisitions;
- generating a plurality of reconstructed magnetic resonance images from the received k-space data, wherein, for each reconstructed magnetic resonance image of the plurality of reconstructed magnetic resonance images, a subspace of the k-space data is generated by removing a k-space segment from the k-space data to provide a remaining subspace of the k-space data and the remaining subspace is used in the generating of the respective reconstructed magnetic resonance image;
- determining, for each reconstructed magnetic resonance image of the plurality of reconstructed magnetic resonance images, an image sharpness corresponding to the respective subspace of the k-space data within the respective reconstructed magnetic resonance image;
- selecting a subspace of the k-space data corresponding to a highest determined image sharpness;
- and
- generating the modified magnetic resonance image based on the selected subspace of the k-space data.
5 more elements
A magnetic resonance imaging apparatus comprising:
- a magnetic resonance (MR) scanner;
- and
- a computer for receiving a MR signal from the MR scanner,
- wherein the computer is configured to:
- receive k-space data corresponding to the MR signal, wherein the k-space data is divided into a plurality of k-space segments, wherein the k-space data corresponds to at least two separate k-space acquisitions from a magnetic resonance scanner, and wherein the receiving of the k-space data further comprises:
- removing, from the k-space data, a central k-space segment of a first k-space acquisition of the at least two separate k-space acquisitions;
- and retaining, in the k-space data, a central k-space segment of a second k-space acquisition of the at least two separate k-space acquisitions;
- generate a plurality of reconstructed magnetic resonance images from the received k-space data, wherein, for each reconstructed magnetic resonance image of the plurality of reconstructed magnetic resonance images, a subspace of the k-space data is generated by removing a k-space segment from the k-space data to provide a remaining subspace of the k-space data and the remaining subspace is used in the generating of the respective reconstructed magnetic resonance image;
- determine, for each reconstructed magnetic resonance image of the plurality of reconstructed magnetic resonance images, an image sharpness corresponding to the respective subspace of the k-space data within the respective reconstructed magnetic resonance;
- select a subspace of the k-space data corresponding to a highest determined image sharpness;
- and
- generate a modified MR image based on the selected subspace of the k-space data.
9 more elements
Dependencies are inferred from the claim text.