THROUGH-TIME RADIAL GRAPPA CALIBRATION

• US 20110093233A1
• Filed: 10/21/2009
• Published: 04/21/2011
• Est. Priority Date: 10/21/2009
• Status: Abandoned Application

• Current Assignee: Case Western Reserve University
• Original Assignee: Case Western Reserve University
• Inventors: DUERK, Jeffrey, GRISWOLD, Mark A., SEIBERLICH, Nicole
• Application Number:
  US12/582,871
• Publication Number:
  US 20110093233A1
• Time in Patent Office: Days
• US Class Current: 702/106
• CPC Class Codes: G01R 33/4824 using a non-Cartesian trajectory
• CPC Class Codes: G01R 33/5611 Parallel magnetic resonance imaging, e.g. sensitivity encoding [SENSE], simultaneous acquisition of spatial harmonics [SMASH], unaliasing by Fourier encoding of the overlaps using the temporal dimension [UNFOLD], k-t-broad-use linear acquisition speed-up technique [k-t-BLAST], k-t-SENSE structural details of arrays of sub-coils G01R33/3415

Abstract

Example systems and methods control a parallel magnetic resonance imaging (pMRI) apparatus to acquire radial calibration data sets throughout time. Example systems and methods also control the pMRI apparatus to acquire an under-sampled radial 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 radial data set. The reconstruction depends, at least in part, on a through-time radial GRAPPA calibration where a value for a point missing from k-space in the under-sampled radial 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 radial calibration data sets.

Claims

1. A method, comprising:

controlling a parallel magnetic resonance imaging (pMRI) apparatus to acquire, from an object to be imaged, throughout a period of time, two or more radial calibration data sets, where the two or more radial calibration data sets are acquired at different points in time;

controlling the pMRI apparatus to acquire an under-sampled radial data set from the object to be imaged;

controlling the pMRI apparatus to perform a through-time radial GRAPPA calibration comprising computing a GRAPPA weight set from data in the two or more radial calibration data sets; and

controlling the pMRI apparatus to reconstruct an image of the object to be imaged from the under-sampled radial data set where a value for a point missing from k-space in the under-sampled radial data set is computed using the GRAPPA weight set as calibrated and applied for the missing point.

2. The method of claim 1, where the two or more radial calibration data sets include data acquired for the same k-space points acquired at two or more points in time.

3. The method of claim 1, where the through-time radial GRAPPA calibration computes a value for a point missing from k-space in the under-sampled radial data set using a GRAPPA weight set calibrated and applied for the missing point.

4. The method of claim 3, where the GRAPPA weight set is computed from data selected from each of the two or more radial calibration data sets.

5. The method of claim 1, where the through-time radial GRAPPA calibration computes a value for a point missing from k-space in the under-sampled radial data set using a GRAPPA weight set calibrated from the two or more radial calibration data sets and from at least one other point in k-space in the two or more radial calibration data sets, the other point in k-space being different from the point missing from k-space.

6. The method of claim 3, where the GRAPPA weight set is computed from data selected from less than all of the data in the two or more radial calibration data sets.

7. The method of claim 1, where controlling the pMRI apparatus to reconstruct the image comprises controlling the pMRI apparatus to reconstruct the image in real-time.

8. The method of claim 1, where the object to be imaged is one of, a beating heart, and a region of a human vasculature in which blood is flowing, and where the two or more radial calibration data sets are acquired from the object to be imaged throughout a period of time during which the object to be imaged moves.

9. The method of claim 6, where the radial calibration data sets are acquired from the object to be imaged without reference to an EKG gating signal and while the object to be imaged is breathing normally without breath-holding.

10. The method of claim 1, where a radial calibration data set comprises two or more rays for which calibration data is acquired, and where the GRAPPA weight set is computed from all the rays acquired in the radial calibration data set.

11. The method of claim 1, where a radial calibration data set comprises two or more rays for which calibration data is acquired, and where the GRAPPA weight set is computed from less than all the rays acquired in the radial calibration data set.

12. The method of claim 1, where the radial calibration data sets are fully sampled data sets.

13. The method of claim 1, where a radial calibration data set comprises two or more rays for which calibration data is acquired, and where the two or more rays are selected as a function of rays that will be used to reconstruct the image.

14. The method of claim 1, where a radial calibration data set comprises two or more rays for which calibration data is acquired, and where the two or more rays include at least the one of the rays that will be used to reconstruct the image.

15. The method of claim 1, comprising controlling the pMRI apparatus to acquire all the radial calibration data sets and then to acquire the under-sampled radial data set.

16. The method of claim 1, comprising controlling the pMRI apparatus to interleave acquisition of the radial calibration data sets and the under-sampled radial data set.

17. The method of claim 1, comprising controlling the pMRI apparatus to perform the through-time radial GRAPPA calibration based, at least in part, on at least one piece of region based calibration data.

18. A computer-readable medium storing computer-executable instructions that when executed by a computer control the computer to perform a method, the method comprising:

controlling a parallel magnetic resonance imaging (pMRI) apparatus to acquire, from an object to be imaged, throughout a period of time, two or more radial calibration data sets, where the two or more radial calibration data sets are acquired at different points in time;

controlling the pMRI apparatus to acquire an under-sampled radial data set from the object to be imaged; and

controlling the pMRI apparatus to reconstruct an image of the object to be imaged from the under-sampled radial data set based, at least in part on a through-time radial GRAPPA calibration, where a value for a point missing from k-space in the under-sampled radial data set is computed using a GRAPPA weight set calibrated and applied for the missing point, where the GRAPPA weight set is computed from data in the two or more radial calibration data sets.

19. An apparatus, comprising:

a radial dataset acquisition logic configured to control a parallel magnetic resonance imaging (pMRI) apparatus to acquire a plurality of radial calibration data sets, where members of the plurality of radial calibration data sets are acquired at different points in time;

an under-sampling acquisition logic configured to acquire an under-sampled radial data set from the object to be imaged;

a through-time radial GRAPPA calibration logic configured to compute a GRAPPA weight set for a point missing from k-space in the under-sampled radial data set, where the GRAPPA weight set is calibrated for the missing point and computed from data in the plurality of radial calibration data sets; and

a reconstruction logic configured to reconstruct an image from the under-sampled radial data set based, at least in part on the GRAPPA weight sets.

20. The apparatus of claim 19, where the through-time radial GRAPPA calibration logic is configured to compute a value for each point missing from k-space in the under-sampled radial data set using a GRAPPA weight set calibrated and applied for each missing point, and where the GRAPPA weight set is computed from one or more of, data selected from each member of the plurality of radial calibration data sets, and data selected from less than each member of the plurality of radial calibration data sets.

21. The apparatus of claim 19, where the radial dataset acquisition logic is configured to acquire radial calibration data sets comprising two or more rays for which calibration data is acquired, and

where the through-time radial GRAPPA calibration logic is configured to compute the GRAPPA weight set from one or more of, all the rays acquired in the radial calibration data sets, and less than all the rays acquired in the radial calibration data sets.

22. The apparatus of claim 19, where the radial dataset acquisition logic is configured to acquire a radial calibration data set comprising two or more calibration rays for which calibration data is acquired, where the two or more calibration rays are selected based on reconstruction rays that will be used to reconstruct the image, and where the two or more calibration rays include at least the reconstruction rays that will be used by the reconstruction logic to reconstruct the image and that will be used by the through-time radial GRAPPA calibration logic to compute the GRAPPA weight set.

23. A computer-readable medium having stored thereon a data structure comprising:

a first field storing data representing a radial calibration data set acquired by a pMRI apparatus;

a second field storing data representing an under-sampled radial data set acquired by the pMRI apparatus; and

a third field storing data representing GRAPPA weights calibrated for a point missing in the under-sampled radial data set, where the GRAPPA weights are calculated from the radial calibration data set.