Parallel-accelerated complex subtraction MRI
AssigneeNorthshore University Healthsystem
InventorsRobert R. Edelman, Ioannia Koktzoglou
Life of this patent
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Abstract
A method for producing background-suppressed MR images with improved resistance to subject motion and noise, particularly that associated with parallel imaging techniques. An MRI system is employed to acquire two sets of undersampled k-space data under different scan conditions. A differential k-space data set is then formed by complex, pairwise subtraction of the two undersampled k-space data sets and a background-suppressed MR is reconstructed from the differential k-space data set using an accelerated reconstruction technique, such as GRAPPA.
Claims18
A method for producing an image of a subject with a magnetic resonance imaging (MRI) system, the steps comprising:
- a) acquiring, using the MRI system, a first set of undersampled k-space data from the subject;
- b) acquiring, using the MRI system, a second set of undersampled k-space data from the subject;
- c) subtracting the first set of undersampled k-space data from the second set of undersampled k-space data in order to produce a differential k-space data set that is substantially more sparse than the first and second sets of undersampled k-space data;
- and
- d) reconstructing, from the differential k-space data and using a parallel image reconstruction method, an image of the subject in which background signal is substantially suppressed.
A magnetic resonance imaging (MRI) system, comprising:
- a magnet system configured to generate a polarizing magnetic field about at least a portion of a subject arranged in the MRI system;
- a magnetic gradient system including a plurality of magnetic gradient coils configured to apply at least one magnetic gradient field to the polarizing magnetic field;
- a radio frequency (RF) system configured to apply an RF field to the subject and to receive magnetic resonance signals therefrom in parallel;
- a non-transitory computer system programmed to carry out the steps of:
- a) acquiring a first set of undersampled k-space data from the subject;
- b) acquiring a second set of undersampled k-space data from the subject;
- c) subtracting the first set of undersampled k-space data from the second set of undersampled k-space data in order to produce a differential k-space data set that is substantially more sparse than the first and second sets of undersampled k-space data;
- and
- d) reconstructing, from the differential k-space data and using a parallel image reconstruction method, an image of the subject in which background signal is substantially suppressed.
Dependencies are inferred from the claim text.