Systems and methods for cardiovascular magnetic resonance imaging
AssigneeOhio State Innovation Foundation
InventorsSyed Murtaza ARSHAD, Rizwan AHMAD
Life of this patent
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Abstract
An example computer implemented method for image reconstruction is described herein. The example method includes receiving k-space data from an magnetic resonance imaging (MRI) machine; sorting the k-space data into a plurality of bins, each of the plurality of bins corresponding to a respective phase of a respiratory cycle; identifying a plurality of outliers in the k-space data; and reconstructing an image from the k-space data using a compressive sensing (CS) technique configured to remove the plurality of outliers from the k-space data, where the CS technique is configured to apply structured sparsity regularization to the plurality of outliers in the k-space data.
Claims20
A computer-implemented method for image reconstruction, the method comprising:
- receiving k-space data from an magnetic resonance imaging (MRI) machine;
- sorting the k-space data into a plurality of bins, each of the plurality of bins corresponding to a respective phase of a respiratory cycle;
- identifying a plurality of outliers in the k-space data;
- and
- reconstructing an image from the k-space data using a compressive sensing (CS) technique configured to remove the plurality of outliers from the k-space data, wherein the CS technique is configured to apply structured sparsity regularization to the plurality of outliers in the k-space data.
A system for MRI imaging, the system comprising:
- an MRI machine;
- and
- a controller in operable communication with the MRI machine, wherein the controller comprises a processor and a memory, the memory having computer-executable instructions stored thereon that, when executed by the processor, cause the processor to:
- receive k-space data from the MRI machine;
- sort the k-space data into a plurality of bins, each of the plurality of bins corresponding to a respective phase of a respiratory cycle;
- identify a plurality of outliers in the k-space data;
- and
- reconstruct an image from the k-space data using a compressive sensing (CS) technique configured to remove the plurality of outliers from the k-space data, wherein the CS technique is configured to apply structured sparsity regularization to the plurality of outliers in the k-space data.
A computer-readable medium having instructions stored therein, wherein execution of the instructions by a processor, causes the processor to:
- receive k-space data from an magnetic resonance imaging (MRI) machine;
- sort the k-space data into a plurality of bins, each of the plurality of bins corresponding to a respective phase of a respiratory cycle;
- identify a plurality of outliers in the k-space data;
- and
- reconstruct an image from the k-space data using a compressive sensing (CS) technique configured to remove the plurality of outliers from the k-space data, wherein the CS technique is configured to apply structured sparsity regularization to the plurality of outliers in the k-space data.
Dependencies are inferred from the claim text.