Compressed sensing high resolution functional magnetic resonance imaging

Patent metadata

Field	Value
Publication number	US-10667691-B2
Application number	US-201615749767-A
Country	US
Kind code	B2
Filing date	Aug 30, 2016
Priority date	Aug 31, 2015
Publication date	Jun 2, 2020
Grant date	Jun 2, 2020

Abstract

The present disclosure provides methods and systems for high-resolution functional magnetic resonance imaging (fMRI), including real-time high-resolution functional MRI methods and systems.

First claim

What is claimed is:

1. A method for functional magnetic resonance imaging (fMRI) of a subject, the method comprising:
applying with an MRI system, a balanced steady state free precession (b-SSFP) sequence to a target area in a subject;
acquiring with the MRI system, image data of the target area in the subject using a randomly undersampled variable density spiral (VDS) trajectory, wherein the VDS trajectory includes a random stack of VDS trajectories, wherein a change in a radial direction versus a change in a rate in an angular direction of the VDS trajectories is determined by a number of interleaves and an effective field of view, wherein the field of view follows an exponential function and an angle between each interleaf of the number of interleaves is randomly distributed; and
producing an image of the target area in the subject based on the acquired image data.

2. The method of claim 1 , wherein the producing comprises analyzing the image data using a spatial sparsifying transform.

3. The method of claim 2 , wherein the spatial sparsifying transform comprises a discrete cosine transform (DCT).

4. The method of claim 1 , wherein the method is a real-time fMRI method.

5. The method of claim 4 , wherein the producing comprises analyzing the image data using a fast iterative shrinkage thresholding algorithm (FISTA).

6. The method of claim 1 , wherein the method has a sampling acceleration factor of 2 or more.

7. The method of claim 1 , wherein the method has a sampling acceleration factor of 5 or more.

8. The method of claim 1 , wherein the method produces an image having a spatial resolution of about 0.2×0.2×0.5 mm 3 or greater.

9. The method of claim 1 , wherein the method produces an image having a contrast-to-noise ratio of 1.5 or more.

10. The method of claim 1 , wherein the method produces an image having a contrast-to-noise ratio of 2.5 or more.

11. A functional magnetic resonance imaging (fMRI) system, the system comprising:
a coil configured to apply a balanced steady state free precession (b-SSFP) sequence to a target area in a subject;
a receiver configured to acquire image data of the target area in the subject using a randomly undersampled variable density spiral (VDS) trajectory, wherein the VDS trajectory includes a random stack of VDS trajectories, wherein a change in a radial direction versus a change in a rate in an angular direction of the VDS trajectories is determined by a number of interleaves and an effective field of view, wherein the field of view follows an exponential function and an angle between each interleaf of the number of interleaves is randomly distributed; and
a processor configured to produce an image of the target area in the subject based on the acquired image data.

12. The system of claim 11 , wherein the processor is configured to analyze the image data using a spatial sparsifying transform.

13. The system of claim 12 , wherein the spatial sparsifying transform comprises a discrete cosine transform (DCT).

14. The system of claim 11 , wherein the system is configured for real-time fMRI.

15. The system of claim 14 , wherein the processor is configured to analyze the image data using a fast iterative shrinkage thresholding algorithm (FISTA).

16. The system of claim 11 , wherein the system has a sampling acceleration factor of 2 or more.

17. The system of claim 11 , wherein the system has a sampling acceleration factor of 5 or more.

18. The system of claim 11 , wherein the processor produces an image having a spatial resolution of about 0.2×0.2×0.5 mm 3 or greater.

19. The system of claim 11 , wherein the processor produces an image having a contrast-to-noise ratio of 1.5 or more.

20. The system of claim 11 , wherein the processor produces an image having a contrast-to-noise ratio of 2.5 or more.

Assignees

• Univ Leland Stanford Junior

Inventors

• Lee Jin Hyung
• Fang Zhongnan

Classifications

• G01R33/56308

  Characterization of motion or flow; Dynamic imaging · CPC title

• G01R33/5614

  using a fully balanced steady-state free precession [bSSFP] pulse sequence, e.g. trueFISP · CPC title

• A61B5/0042 Primary

  for the brain · CPC title

• A61B5/4064

  Evaluating the brain (for intracranial pressure A61B5/031; for cerebral blood gases A61B5/14553; using EEG A61B5/369) · CPC title

• A61B5/7203

  for noise prevention, reduction or removal · CPC title