IP Library › Granted Patent US 9,921,285
Granted Patent B2
US 9,921,285 · App. 14/395,752 · Granted Mar 20, 2018

System, method and computer-accessible medium for highly-accelerated dynamic magnetic resonance imaging using golden-angle radial sampling and compressed sensing

Inventors: Ricardo Otazo (New York, NY); Li Feng (New York, NY); Tobias Block (New York, NY); Hersh Chandarana (West New York, NJ); Leon Axel (New York, NY); Daniel K. Sodickson (Larchmont, NY)
Assignee: New York University
G01R33/561A61B5/055A61B5/7207G01R33/28G01R33/4822G01R33/4824G01R33/5611G01R33/56308
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Quick Facts
Patent No.
US 9,921,285
App. No.
14/395,752
Granted
Mar 20, 2018
Kind
B2
Abstract

Exemplary method, system and computer-accessible medium can be provided which facilitates an acquisition of radial data, which can be continuous, with an exemplary golden-angle procedure and reconstruction with arbitrary temporal resolution at arbitrary time points. According to such exemplary embodiment, such procedure can be performed with a combination of compressed sensing and parallel imaging to offer a significant improvement, for example in the reconstruction of highly undersampled data. It is also possible to provide an exemplary procedure for highly-accelerated dynamic magnetic resonance imaging using Golden-Angle radial sampling and multicoil compressed sensing reconstruction, called Golden-angle Radial Sparse Parallel MRI (GRASP).

Claims (40)

1. A non-transitory computer-accessible medium having stored thereon computer-executable instructions for reconstructing data associated with at least one object, wherein, when a computer hardware arrangement executes the instructions, the computer arrangement is configured to perform procedures comprising:

acquiring radial data based on a golden-angle procedure, which includes acquiring complementary spokes in a three-dimensional (3D) k-space using two-dimensional (2D) golden ratios;

sorting the acquired radial data into at least one time-series having an arbitrary temporal resolution; and

reconstructing the data using a compressed sensing procedure and a parallel waging procedure based on the sorted data.

2. The compute accessible medium of claim 1 , wherein the radial data includes magnetic resonance imaging data.

3. The computer-accessible medium of claim 1 , wherein the radial data comprises a plurality of radial lines.

4. The computer-accessible medium of claim 3 , wherein the radial lines have a golden-angle separation of approximately 111.25°.

5. The computer-accessible medium of claim 3 , wherein the arbitrary temporal resolution is based on a particular number of consecutive ones of the radial lines.

6. The computer-accessible medium of claim 5 , wherein the particular number of the consecutive ones of the radial lines is less than a number associated with a Nyquist rate.

7. The computer-accessible medium of claim 3 , wherein the reconstruction procedure is performed based on a first group of consecutive ones of the radial lines used to generate at least one temporal frame.

8. The computer-accessible medium of claim 7 , wherein the reconstruction procedure is performed based on a second group of the consecutive ones of the radial lines used to generate at least one further temporal frame, the second group having different radial lines than the first group.

9. The computer-accessible medium of claim 7 , wherein the reconstruction procedure is performed based on a target shape for each temporal frame.

10. The computer-accessible medium of claim 9 , wherein the target shape is a boxcar.

11. The computer-accessible medium of claim 3 , wherein the reconstruction procedure is performed at arbitrary time points by centering a group of consecutive ones of the radial lines at different points during an acquisition period.

12. The computer-accessible medium of claim 1 , wherein the acquiring procedure comprises acquiring all slices for a given projection for a particular golden-angle before proceeding to a next golden-angle.

13. The computer-accessible medium of claim 1 , wherein the at least one object includes at least one anatomical structure.

14. The computer-accessible medium of claim 13 , wherein the reconstruction procedure is performed based on a physiological motion of the at least one anatomical structure.

15. The computer-accessible medium of claim 14 , wherein the physiological motion is an expiratory phase of the at least one anatomical structure.

16. The computer-accessible medium of claim 15 , wherein the expiratory phase is based on a respiratory motion signal of the at least one anatomical structure.

17. The computer-accessible medium of claim 14 , wherein the computer arrangement is further configured to perform a cleansing of the physiological motion using a band pass filter.

18. The computer-accessible medium of claim 1 , wherein the reconstruction procedure is performed based on coil sensitivity maps of at least one exemplary multicoil reference image.

19. The computer-accessible medium of claim 18 , wherein the at least one exemplary multicoil reference image is based on a Non-Uniform Fast Fourier Transform.

20. The computer-accessible medium of claim 1 , wherein the reconstruction procedure is performed based on sorting the radial data into highly undersampled temporal frames by grouping a particular number of consecutive ones of the radial lines to form each temporal frame.

21. The computer-accessible medium of claim 20 , wherein the particular number is a Fibonacci number.

22. The computer-accessible medium of claim 1 , wherein the radial data is based on a sampling of the 3D k-space of the at least one object.

23. The computer-accessible medium of claim 22 , wherein the k-space sampling is performed using a stack-of-stars procedure.

24. The computer-accessible medium of claim 22 , wherein the k-space sampling is performed using a stack-of-spiral procedure.

25. The computer-accessible medium of claim 1 , wherein the step of acquiring radial data is performed continuously during the reconstruction procedure.

26. The computer-accessible medium of claim 1 , wherein the computer hardware arrangement is configured to acquire the radial data by applying an inverse Fourier transform to a k-space sampling mask.

27. The computer-accessible medium of claim 1 , wherein the computer hardware arrangement is configured to acquire the radial data by non-linearly mapping a k-space dimension to a warped k-space dimension.

28. The computer-accessible medium of claim 1 , wherein the computer hardware arrangement is configured to acquire the radial data using a plurality of radial rays oriented toward a surface of a sphere in the 3D k-space.

29. A method for reconstructing data associated with at least one object, comprising:

acquiring radial data based on a golden-angle procedure, which includes acquiring complementary spokes in a three-dimensional (3D) k-space using two-dimensional (2D) golden ratios;

sorting the acquired radial data into at least one time-series having an arbitrary temporal resolution; and

using a computer arrangement, reconstructing the data using a compressed sensing procedure and a parallel imaging procedure based on the sorted data.

30. A system for reconstructing data associated with at least one object, comprising:

a computing arrangement which is configured to:

a. acquire radial data based on a golden-angle procedure, which includes acquiring complementary spokes in a three-dimensional (3D) k-space using two-dimensional (2D) golden ratios;

b. sort the acquired radial data into at least one time-series having an arbitrary temporal resolution; and

c. reconstruct the data using a compressed sensing procedure and a parallel imaging procedure based on the sorted data.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 5, 2018
From: OTAZO, RICARDO; FENG, LI; BLOCK, TOBIAS; CHANDRARANA, HERSH; AXEL, LEON; SODICKSON, DANIEL K.
To: NEW YORK UNIVERSITY
Reel/Frame 044830/0686 →
Continuity (2)
Provisional Application 61635792 · Apr 19, 2012
Related Publication 20150077112A1 · Mar 19, 2015