Computer-implemented magnetic resonance image optimisation method
AssigneeSiemens Healthineers AG
InventorsRaphael Tomi-Tricot, Radhouene Neji
Life of this patent
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Abstract
A computer-implemented magnetic resonance image optimisation method is disclosed. An image of an object is mapped using a static magnetic field and divided into a plurality of voxels. Each voxel is represented in a Euclidean n-dimensional space, where n≥3, and clustered by grouping together voxels having similar characteristics to create homogenous clusters. The centre or centroid of each cluster is determined, and used, or the voxel closest to either the centre or the centroid is used, as a super-voxel in an optimisation procedure. An optimised diagnostic image of the object is then generated.
Claims11
A computer-implemented magnetic resonance image optimisation method, comprising:
- mapping an image of an object obtained using a static magnetic field and an incident radio frequency signal by dividing the image into identically sized three-dimensional voxels, dimensions of the identically sized three-dimensional voxels being determined by a desired mapping resolution;
- representing each voxel in a Euclidean n-dimensional space, where n≥3, each voxel having a voxel location represented by at least a two-dimensional position and at least one voxel characteristic represented by at least one further dimension;
- clustering the Euclidean n-dimensional space by grouping together voxels having similar voxel characteristics to create homogenous clusters;
- determining a centre or centroid of each cluster;
- using either the determined centre or centroid of each cluster, or the voxel closest to the determined centre or centroid, as a super-voxel in an optimisation procedure;
- and
- generating an optimised diagnostic image of the object,
- wherein each voxel characteristic includes at least one of a local transmit magnetic field amplitude induced by the incident RF signal at the voxel location or a local static magnetic field amplitude at a respective voxel location.
A data processing system adapted to optimise a magnetic resonance image, comprising:
- at least one processor configured to cause the data processing system to,
- map an image of an object obtained using a static magnetic field and an incident radio frequency (RF) signal by dividing the image into identically sized three-dimensional voxels, dimensions of the identically sized three-dimensional voxels being determined by a desired mapping resolution;
- represent each voxel in a Euclidean n-dimensional space, where n≥3, each voxel having a voxel location represented by at least a two-dimensional position and at least one voxel characteristic represented by at least one further dimension;
- cluster the Euclidean n-dimensional space by grouping together voxels having similar voxel characteristics to create homogenous clusters;
- determine a centre or centroid of each cluster;
- use either the determined centre or centroid of each cluster, or the voxel closest to the determined centre or centroid as a super-voxel in an optimisation procedure;
- and
- generate an optimised diagnostic image of the object,
- wherein each voxel characteristic includes at least one of a local transmit magnetic field amplitude induced by the incident RF signal at the voxel location or a local static magnetic field amplitude at a respective voxel location.
Dependencies are inferred from the claim text.