Through-time non-cartesian grappa calibration
OwnerMark A. Griswold, Jeffrey Duerk +1inventors
InventorsMark A. Griswold, Jeffrey Duerk, Nicole Seiberlich
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OwnerMark A. Griswold, Jeffrey Duerk +1inventors
InventorsMark A. Griswold, Jeffrey Duerk, Nicole Seiberlich
Estimating the term…
Example systems and methods control a parallel magnetic resonance imaging (pMRI) apparatus to acquire non-Cartesian (e.g., spiral) calibration data sets throughout time. Example systems and methods also control the pMRI apparatus to acquire an under-sampled non-Cartesian data set from the object to be imaged. Example systems and methods then control the pMRI apparatus to reconstruct an image of the object to be imaged from the under-sampled non-Cartesian data set. The reconstruction depends, at least in part, on a through-time non-Cartesian GRAPPA calibration where a value for a point missing from k-space in the under-sampled non-Cartesian data set is computed using a GRAPPA weight set calibrated and applied for the missing point. The GRAPPA weight set is computed from data in the non-Cartesian calibration data sets.
A method, comprising:
A non-transitory computer-readable medium storing computer-executable instructions that when executed by a computer control the computer to perform a method, the method comprising:
An apparatus usable with a parallel magnetic resonance imaging apparatus, comprising:
A non-transitory computer-readable medium having stored thereon a data structure comprising:
Dependencies are inferred from the claim text.