Detecting spin perturbations using magnetic resonance imaging

• US 8,248,069 B2
• Filed: 09/08/2009
• Issued: 08/21/2012
• Est. Priority Date: 03/06/2007
• Status: Expired due to Fees

• Current Assignee: Regents of the University of California (University of California)
• Original Assignee: Regents of the University of California (University of California)
• Inventors: Buracas, Giedrius
• Primary Examiner(s): Vargas, Dixomara
• Application Number:
  US12/555,708
• Publication Number:
  US 20090322331A1
• Time in Patent Office: 1,078 Days
• Field of Search: 324300-322
• US Class Current: 324/307
• CPC Class Codes: A61B 5/0263 using NMR
• CPC Class Codes: A61B 5/245 specially adapted for magnetoencephalographic [MEG] signals
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: G01R 33/48 NMR imaging systems
• CPC Class Codes: G01R 33/4806 Functional imaging of brain activation
• CPC Class Codes: G01R 33/5613 Generating steady state signals, e.g. low flip angle sequences [FLASH]
• CPC Class Codes: G01R 33/5614 using a fully balanced steady-state free precession [bSSFP] pulse sequence, e.g. trueFISP

Abstract

Implementations and examples of systems, apparatus and techniques for using magnetic resonance imaging to measure spin perturbations. In one implementation, a sample containing nuclear spins is magnetized using a principle magnetic field generated external to the sample. A periodic pulse sequence is applied to the sample. The pulse sequence includes multiple radio frequency (rf) pulses and multiple recovery times between the rf pulses. The pulse sequence is configured to generate, in the presence of a magnetic field perturbation, a sequence of multiple different steady states of magnetization in the sample during each period of the pulse sequence. A magnetic resonance signal acquired from the sample is processed to identify characteristics of a magnetic field perturbation in the sample. In some implementations, processing the signal to identify characteristics of a magnetic field perturbation in the sample includes processing the signal to identify characteristics of an electric current in the sample.

Claims

1. A method of magnetic resonance imaging (MRI), comprising:

magnetizing a sample comprising nuclear spins using a principle magnetic field generated external to the sample;

applying to the sample a periodic pulse sequence comprising a plurality of radio frequency (rf) pulses and a plurality of recovery times between the rf pulses, wherein the pulse sequence is configured to generate, in the presence of a time-dependent magnetic field perturbation in the sample, a sequence of at least three different steady states of magnetization in the sample during each period of the pulse sequence; and

processing a magnetic resonance signal acquired from the sample when under application of the periodic pulse sequence to identify characteristics of the magnetic field perturbation.

2. The method of claim 1, wherein processing a magnetic resonance signal acquired from the sample to identify characteristics of a magnetic field perturbation in the sample comprises processing a magnetic resonance signal acquired from the sample to identify a phase applied to the magnetization by the magnetic field perturbation during each period of the pulse sequence.

3. The method of claim 1, wherein the time duration of each period of the pulse sequence is based at least in part on a period of a magnetic field perturbation in the sample.

4. The method of claim 1, wherein processing a magnetic resonance signal acquired from the sample to identify characteristics of a magnetic field perturbation in the sample comprises processing a magnetic resonance signal acquired from the sample to identify characteristics of an electric current in the sample.

5. The method of claim 1, wherein the sample comprises at least part of a nervous system and processing a magnetic resonance signal acquired from the sample to identify characteristics of a magnetic field perturbation in the sample comprises processing a magnetic resonance signal acquired from the sample to identify characteristics of a neuronal current in the nervous system.

6. The method of claim 5, wherein the sample comprises at least part of a central nervous system.

7. The method of claim 5, wherein the sample comprises at least part of a peripheral nervous system.

8. The method of claim 1, wherein the sample comprises a blood vessel and processing a magnetic resonance signal acquired from the sample to identify characteristics of a magnetic field perturbation in the sample comprises processing a magnetic resonance signal acquired from the sample to identify characteristics of a fluid flow in the blood vessel.

9. The method of claim 1, wherein processing a magnetic resonance signal acquired from the sample to identify characteristics of a magnetic field perturbation in the sample comprises processing a magnetic resonance signal acquired from the sample to identify characteristics of mechanical perturbations applied to the sample.

10. The method of claim 1, wherein the characteristics comprise at least one of a location of the magnetic field perturbation, a spatial distribution of the magnetic field perturbation, an amplitude of the magnetic field perturbation, or a time-dependent waveform of the magnetic field perturbation.

11. The method of claim 1, further comprising applying a motion sensitizing gradient.

12. The method of claim 11, wherein applying a motion sensitizing gradient to the sample comprises controlling the motion sensitizing gradient to measure characteristics of diffusion in the sample.

13. The method of claim 1, further comprising inducing the magnetic field perturbation in sample.

14. The method of claim 13, wherein inducing the magnetic field perturbation in the sample comprises mechanically perturbing the sample.

15. The method of claim 13, wherein inducing the magnetic field perturbation in the sample comprises inducing the magnetic field perturbation in the sample in a periodic manner, and the time duration of each period of the pulse sequence is based at least in part on a period of the induced magnetic field perturbation.

16. The method of claim 13, wherein the sample comprises at least a portion of a living organism, and inducing the magnetic field perturbation comprises presenting a sensory stimulus to the living organism.

17. A method of magnetic resonance imaging (MRI), comprising:

magnetizing a sample comprising nuclear spins using a principle magnetic field generated external to the sample;

applying to the sample a periodic pulse sequence comprising a plurality of radio frequency (rf) pulses and a plurality of recovery times between the rf pulses, wherein the pulse sequence is configured to generate, in the presence of a time-dependent magnetic field perturbation in the sample, a sequence of at least two different steady states of magnetization in the sample during each period of the pulse sequence; and

processing a magnetic resonance signal acquired from the sample when under application of the periodic pulse sequence to identify characteristics of an electric current in the sample.

18. The method of claim 17, wherein processing a magnetic resonance signal acquired from the sample to identify characteristics of an electric current in the sample comprises processing a magnetic resonance signal acquired from the sample to identify an amplitude of a magnetic field perturbation generated by the electric current.

19. The method of claim 17, wherein processing a magnetic resonance signal acquired from the sample to identify characteristics of an electric current in the sample comprises processing a magnetic resonance signal acquired from the sample to identify a time-dependent waveform of a magnetic field perturbation generated by the electric current.

20. The method of claim 17, wherein processing a magnetic resonance signal acquired from the sample to identify characteristics of an electric current in the sample comprises processing a magnetic resonance signal acquired from the sample to identify a spatial distribution of a magnetic field perturbation generated by the electric current.

21. The method of claim 17, wherein the sample comprises at least part of a nervous system and processing a magnetic resonance signal acquired from the sample to identify characteristics of an electric current in the sample comprises processing a magnetic resonance signal acquired from the sample to identify characteristics of a neuronal current in the nervous system.

22. A computer program product, embodied on a non-transitory computer-readable medium, operable to cause a data processing apparatus to perform operations comprising:

generating signals for applying to a sample a periodic pulse sequence comprising a plurality of radio frequency (rf) pulses and a plurality of recovery times between the rf pulses, wherein the pulse sequence is configured to generate a sequence of at least three different steady states of magnetization in the sample during each period of the pulse sequence; and

processing a magnetic resonance signal acquired from the sample when under application of the periodic pulse sequence to identify characteristics of a magnetic field perturbation in the sample.

23. The computer program product of claim 22, wherein the time duration of each period of the pulse sequence is based at least in part on a period of a magnetic field perturbation in the sample.

24. The computer program product of claim 22, wherein processing a magnetic resonance signal acquired from the sample to identify characteristics of a magnetic field perturbation in the sample comprises processing a magnetic resonance signal acquired from the sample to identify characteristics of an electric current in the sample.

25. The computer program product of claim 22, wherein the sample comprises at least part of a nervous system and processing a magnetic resonance signal acquired from the sample to identify characteristics of a magnetic field perturbation in the sample comprises processing a magnetic resonance signal acquired from the sample to identify characteristics of a neuronal current in the nervous system.

26. The computer program product of claim 22, wherein the characteristics comprise at least one of a location of the magnetic field perturbation, a spatial distribution of the magnetic field perturbation, an amplitude of the magnetic field perturbation, or a time-dependent waveform of the magnetic field perturbation.

27. A magnetic resonance imaging (MRI) system comprising:

a radio frequency (rf) system configured to apply to a sample a periodic pulse sequence comprising a plurality of radio frequency (rf) pulses and a plurality of recovery times between the rf pulses and to detect a magnetic resonance signal from the sample in response to the periodic pulse sequence, wherein the pulse sequence is configured to generate, in the presence of a time-dependent magnetic field perturbation in the sample, a sequence of at least three different steady states of magnetization in the sample during each period of the pulse sequence; and

a data processing apparatus configured to process the magnetic resonance signal acquired from the sample when under application of the periodic pulse sequence to identify characteristics of a magnetic field perturbation in the sample.

28. The MRI system of claim 27, wherein the time duration of each period of the pulse sequence is based at least in part on a period of a magnetic field perturbation in the sample.

29. The MRI system of claim 27, wherein processing a magnetic resonance signal acquired from the sample to identify characteristics of a magnetic field perturbation in the sample comprises processing a magnetic resonance signal acquired from the sample to identify characteristics of an electric current in the sample.

30. The MRI system of claim 27, wherein the sample comprises a nervous system and processing a magnetic resonance signal acquired from the sample to identify characteristics of a magnetic field perturbation in the sample comprises processing a magnetic resonance signal acquired from the sample to identify characteristics of a neuronal current in the nervous system.

31. The MRI system of claim 27, wherein the characteristics comprise at least one of a location of the magnetic field perturbation, a spatial distribution of the magnetic field perturbation, an amplitude of the magnetic field perturbation, or a time-dependent waveform of the magnetic field perturbation.

32. A method comprising:

applying a periodic pulse sequence to a nervous system, the pulse sequence comprising a plurality of radio frequency (rf) pulses and a plurality of recovery times between the rf pulses, wherein the pulse sequence is configured to generate, in the presence of a time-dependent magnetic field perturbation in the nervous system, multiple different steady states of magnetization in the nervous system during each period of the pulse sequence; and

processing a magnetic resonance signal acquired from the nervous system when under application of the periodic pulse sequence to obtain characteristics of neuronal activity associated with the magnetic field perturbation.

33. The method of claim 32, wherein the neuronal activity comprises an electric current that generates the magnetic field perturbation.

34. The method of claim 33, wherein the period of the pulse sequence is synchronized with a period of the magnetic field perturbation.

35. The method of claim 32, wherein the magnetic field perturbation has a period less than or equal to one hundred (100) milliseconds.

36. The method of claim 35, wherein the magnetic field perturbation has a period greater than or equal to ten (10) milliseconds.

37. The method of claim 32, wherein the sample comprises a contrast agent that tracks correlates of neuronal activity.

38. The method of claim 37, wherein the contrast agent comprises a smart contrast agent having at least one of a T2 relaxation rate or a bulk susceptibility that changes as a function of Ca++concentration in the nervous system.