Accelerated pseudo-random data magnetic resonance imaging system and method

• US 8,890,522 B2
• Filed: 03/18/2011
• Issued: 11/18/2014
• Est. Priority Date: 04/02/2010
• Status: Active Grant

• Current Assignee: General Electric Company, Wisconsin Alumni Research Foundation (University of Wisconsin System)
• Original Assignee: General Electric Company
• Inventors: Busse, Reed Frederick, Holmes, James, Beatty, Philip James, Wang, Kang, Korosec, Frank
• Primary Examiner(s): ARANA, LOUIS M
• Application Number:
  US13/051,924
• Publication Number:
  US 20110241676A1
• Time in Patent Office: 1,341 Days
• Field of Search: 324300-322, 600407-445
• US Class Current: 324/309
• CPC Class Codes: G01R 33/4818 MR characterised by data acquisition along a specific k-space trajectory or by the temporal order of k-space coverage, e.g. centric or segmented coverage of k-space
• 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
• CPC Class Codes: G01R 33/56308 Characterization of motion or flow; Dynamic imaging

Abstract

The present disclosure is intended to describe embodiments for improving image data acquisition and processing in accelerated dynamic magnetic resonance imaging sequences. One embodiment is described where a method includes an acquisition sequence configured to acquire an undersampled set of magnetic resonance data. The undersampled set of magnetic resonance data has a pseudo-random sampling pattern within a data space acquired at a first time, the pseudo-random sampling pattern being influenced by other pseudo-random sampling patterns within the data space arising from the acquisition of additional undersampled sets of magnetic resonance data at respective times. In some embodiments, the pseudo-random sampling patterns of the undersampled sets of magnetic resonance data interleave to yield a desired sampling pattern.

Claims

1. A magnetic resonance imaging method comprising:

performing a magnetic resonance dynamic imaging sequence comprising;

(i) a first acquisition configured to acquire a first set of magnetic resonance data at a first time, the first set of magnetic resonance data having a first pseudo-random data undersampling pattern defined within an area of a data space; and

(ii) one or more additional acquisitions configured to acquire one or more additional sets of magnetic resonance data at respective times, each acquisition having second pseudo-random data undersampling patterns defined within the area of the data space;

wherein the first and the one or more additional pseudo-random data undersampling patterns interleave to yield a desired sampling pattern and the magnetic resonance data is representative of a feature within a subject of interest.

2. The method of claim 1, wherein each sampling location of the desired sampling pattern is sampled at least once.

3. The method of claim 1, wherein sampling locations towards the center of k-space are sampled with greater frequency than those further from the center of the data space.

4. The method of claim 1, wherein the undersampling patterns are along the phase encoding axes of k-space or hybrid space.

5. The method of claim 4, comprising combining, using a combining function, at least a portion of the data acquired in steps (i) and (ii) to generate a combined set of magnetic resonance data and storing the combined set of magnetic resonance data, wherein the combining function is an addition function, an averaging function, an interpolation function, or any combination thereof.

6. The method of claim 5, comprising generating an estimated image for the first set of magnetic resonance data using the combined set of magnetic resonance data.

7. The method of claim 6, wherein generating the estimated image for the first set of magnetic resonance data using the combined set of magnetic resonance data comprises:

generating a first image substantially free of temporal blurring from the first set of magnetic resonance data;

generating a second image substantially free of spatial blurring from the combined set of magnetic resonance data;

generating a third image from the combined set of magnetic resonance data and the sampling pattern of the first set of magnetic resonance data; and

generating the estimated image using the first, second, and third images.

8. The method of claim 7, wherein the first image is generated by a first process comprising performing a Fourier transform, parallel imaging reconstruction, or a combination thereof on the first set of magnetic resonance data.

9. The method of claim 8, wherein the second image is generated by a second process comprising correcting the combined set of magnetic resonance data for the sampling density of the desired sampling pattern and performing a Fourier transform, parallel imaging reconstruction, or a combination thereof on the density-corrected data.

10. The method of claim 9, wherein the third image is generated by performing a third process comprising sampling the second image at the pseudo-random locations of the first set of magnetic resonance data to generate density- and location-corrected data and performing a Fourier transform, parallel imaging reconstruction, or a combination thereof on the density- and location-corrected data.

11. The method of claim 10, wherein the estimated image is generated by multiplying the quotient of the first image and the third image by the second image.

12. The method of claim 7, comprising defining a uniform undersampling pattern comprising locations that are to be sampled and locations that are to be left unsampled on at least a portion of the area of k-space prior to performing step (i), step (ii), or a combination of both.

13. The method of claim 12, comprising performing parallel imaging reconstruction to estimate at least a portion of the unsampled locations.

14. A magnetic resonance imaging method comprising:

performing a magnetic resonance dynamic imaging sequence comprising;

an acquisition sequence configured to acquire an undersampled set of magnetic resonance data having a pseudo-random sampling pattern within a data space at a first time, the pseudo-random sampling pattern being influenced by other pseudo-random sampling patterns within the data space arising from the acquisition of additional undersampled sets of magnetic resonance data at respective times, the first time and the respective times defining a time window;

generating a series of images from the undersampled magnetic resonance data sets;

generating a reconstructed image using the series of images and a multiplicative constrained reconstruction process.

15. The method of claim 14, wherein the data space is k-space or hybrid space, and the pseudo-random sampling patterns are along the phase encoding plane.

16. The method of claim 15, wherein the series of images comprises:

a first image generated from the first undersampled magnetic resonance data set, the first image being substantially free of temporal blurring;

a second image substantially free of spatial blurring generated from a combined set of magnetic resonance data, the combined set being generated using a combination function on the undersampled sets of magnetic resonance data within the time window; and

a third image generated from data acquired by sampling the combined set of magnetic resonance data using the pseudo-random sampling pattern of the undersampled magnetic resonance data set acquired at the first time.

17. The method of claim 15, wherein generating the reconstructed image comprises suppressing incoherent artifacts resulting from the pseudo-random sampling patterns by applying a multiplicative constraint to a combination of the first and third images, wherein the multiplicative constraint comprises the second image.

18. The method of claim 14, wherein the undersampled magnetic resonance data sets comprise an area proximate the center of the k-space that is fully sampled.

19. The method of claim 14, comprising defining a uniform undersampling pattern comprising locations that are to be sampled and locations that are to be left unsampled on at least a portion of the area of the data space prior to acquiring the undersampled sets of magnetic resonance data within the time window.

20. A magnetic resonance imaging method comprising:

performing a magnetic resonance dynamic imaging sequence comprising;

(a) a first acquisition sequence comprising;

(i) defining at least a portion of a data space with a uniform pattern of locations that are to be sampled and locations that are not to be sampled; and

(ii) sampling the uniform pattern within the data space in a first pseudo-random subsampling pattern to collect a first set of magnetic resonance data; and

(b) one or more additional acquisition sequences comprising;

(i) sampling the uniform pattern within the data space with one or more additional pseudo-random subsampling patterns to collect one or more additional sets of magnetic resonance data;

wherein the first and the one or more additional pseudo-random subsampling patterns interleave to yield a desired sampling pattern.

21. The method of claim 20, wherein an area proximate the center of the data space is fully sampled when performing the pseudo-random sampling, the area having a radius that is related to a rate of acquisition of the magnetic resonance data.

22. The method of claim 20, wherein the data space is k-space or hybrid space, and the locations that are sampled and the locations that are not sampled are along the phase encoding axes of the data space.

23. The method of claim 22, comprising:

(c) generating a reconstructed image for the first magnetic resonance data set, step (c) comprising suppressing incoherent artifacts resulting from the locations that are not sampled by applying a multiplicative constraint, wherein the multiplicative constraint comprises an image generated from a combination of the undersampled magnetic resonance data sets and a sampling density of the combined data set.