US 12,111,374 B2
Computer-implemented magnetic resonance image optimisation method
Raphael Tomi-Tricot, London (GB); and Radhouene Neji, London (GB)
Assigned to SIEMENS HEALTHINEERS AG, Forchheim (DE)
Filed by Siemens Healthineers AG, Forchheim (DE)
Filed on Apr. 26, 2022, as Appl. No. 17/729,482.
Claims priority of application No. 2106157 (GB), filed on Apr. 29, 2021.
Prior Publication US 2022/0349973 A1, Nov. 3, 2022
Int. Cl. G01R 33/56 (2006.01); G01R 33/44 (2006.01)
CPC G01R 33/5608 (2013.01) [G01R 33/445 (2013.01)] 11 Claims
OG exemplary drawing
 
1. 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.