US 12,474,427 B2
Selection of k-space data segments based on associated navigator images
Wolfgang Rehwald, Chapel Hill, NC (US); and Raymond J. Kim, Chapel Hill, NC (US)
Assigned to Siemens Healthineers AG, Forchheim (DE); and Duke University, Durham, NC (US)
Filed by Siemens Healthineers AG, Forchheim (DE); and Duke University, Durham, NC (US)
Filed on Sep. 8, 2023, as Appl. No. 18/463,394.
Claims priority of provisional application 63/502,974, filed on May 18, 2023.
Prior Publication US 2024/0385273 A1, Nov. 21, 2024
Int. Cl. G01R 33/567 (2006.01)
CPC G01R 33/5676 (2013.01) [G01R 33/5673 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A magnetic resonance imaging system comprising:
a magnet system configured to generate a polarizing magnetic field about at least a portion of a subject;
a plurality of gradient coils configured to apply at least one gradient field to the polarizing magnetic field;
a radio frequency (RF) system configured to apply an excitation field to the subject and to acquire magnetic resonance (MR) data from the subject; and
a processing unit to execute program code to cause the system to:
acquire a plurality of navigator k-space data segments and a k-space data segment associated with each of the plurality of navigator k-space data segments;
generate a respective navigator image from each of the plurality of navigator k-space data segments;
based on the respective navigator images of each of the plurality of navigator k-space data segments, determine a first center navigator k-space data segment associated with a most common respiratory position of the subject;
determine a center k-space data segment corresponding to the first center navigator k-space data segment;
determine, for each non-center segment of k-space, a k-space data segment whose respective navigator image is most similar to a first center navigator image generated from the first center navigator k-space data segment; and
generate an image based on the determined k-space data segments.