MRI reconstruction with motion-dependent regularization
First Claim
1. A method of image reconstruction for a magnetic resonance imaging (MRI) system comprising a plurality of coils, the method comprising:
- obtaining k-space scan data captured by the MRI system via the plurality of coils, the k-space scan data being representative of an undersampled region over time;
iteratively reconstructing, with a processor, preliminary dynamic images for the undersampled region from the k-space scan data via optimization of a first instance of a minimization problem, the minimization problem comprising a regularization term weighted by a weighting parameter array;
generating a motion determination indicative of an extent to which each location of the undersampled region exhibits motion over time based on the preliminary dynamic images; and
iteratively reconstructing, with the processor, motion-compensated dynamic images for the region from the k-space scan data via optimization of a second instance of the minimization problem, the second instance having the weighting parameter array altered as a function of the motion determination.
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Accused Products
Abstract
A method of image reconstruction for a magnetic resonance imaging (MRI) system includes obtaining k-space scan data captured by the MRI system, the k-space scan data being representative of an undersampled region over time, iteratively reconstructing preliminary dynamic images for the undersampled region from the k-space scan data via optimization of a first instance of a minimization problem, the minimization problem including a regularization term weighted by a weighting parameter array, generating a motion determination indicative of an extent to which each location of the undersampled region exhibits motion over time based on the preliminary dynamic images, and iteratively reconstructing motion-compensated dynamic images for the region from the k-space scan data via optimization of a second instance of the minimization problem, the second instance having the weighting parameter array altered as a function of the motion determination.
43 Citations
20 Claims
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1. A method of image reconstruction for a magnetic resonance imaging (MRI) system comprising a plurality of coils, the method comprising:
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obtaining k-space scan data captured by the MRI system via the plurality of coils, the k-space scan data being representative of an undersampled region over time; iteratively reconstructing, with a processor, preliminary dynamic images for the undersampled region from the k-space scan data via optimization of a first instance of a minimization problem, the minimization problem comprising a regularization term weighted by a weighting parameter array; generating a motion determination indicative of an extent to which each location of the undersampled region exhibits motion over time based on the preliminary dynamic images; and iteratively reconstructing, with the processor, motion-compensated dynamic images for the region from the k-space scan data via optimization of a second instance of the minimization problem, the second instance having the weighting parameter array altered as a function of the motion determination. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A computer program product for implementing a method of image reconstruction for a magnetic resonance imaging (MRI) system comprising a plurality of coils, the computer program product comprising one or more non-transitory computer-readable storage media having stored thereon instructions executable by one or more processors of a computing system to cause the computing system to perform operations comprising:
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obtaining k-space scan data captured by the MRI system, the k-space scan data being representative of an undersampled region over time; determining a respective coil sensitivity profile for the region for each coil of the plurality of coils; iteratively reconstructing preliminary dynamic images for the region from the k-space scan data via optimization of a first instance of a minimization problem, the minimization problem comprising a data fidelity term based on the coil sensitivity profiles and a regularization term weighted relative to the data fidelity term by a weighting parameter array; comparing the preliminary dynamic images with one another to determine motion and static portions of the undersampled region based on an extent to which each location of the undersampled region exhibits motion over time; and iteratively reconstructing motion-compensated dynamic images for the region from the k-space scan data via optimization of a second instance of the minimization problem, the second instance having the weighting parameter array adjusted in accordance with the motion and non-motion portions of the undersampled region. - View Dependent Claims (13, 14, 15, 16, 17)
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18. A data processing system for a magnetic resonance imaging (MRI) system comprising a plurality of coils, the data processing system comprising:
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a data store in which k-space scan data captured by the plurality of coils is stored, the k-space scan data being representative of an undersampled region over time; and a processor coupled to the data store, and configured to reconstruct preliminary dynamic images for the undersampled region via optimization of a first instance of a minimization problem, the minimization problem comprising a regularization term weighted by a weighting parameter array; wherein the processor is further configured to determine a map of the undersampled region indicative of an extent to which each location of the undersampled region exhibits motion over time based on a temporal comparison of the preliminary dynamic images with one another; wherein the processor is further configured to change the weighting parameter array as a function of the map, and to reconstruct motion-compensated dynamic images for the undersampled region from the k-space scan data via optimization of a second instance of the minimization problem, the second instance using the changed weighting parameter array. - View Dependent Claims (19, 20)
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Specification