Geometry Based Field Prediction Method for Susceptibility Mapping and Phase Artifact Removal

• US 20090261824A1
• Filed: 04/18/2008
• Published: 10/22/2009
• Est. Priority Date: 04/18/2008
• Status: Active Grant

• Current Assignee: Spintech, Inc.
• Original Assignee: MR Innovations, Inc. (Spintech, Inc.)
• Inventors: Haacke, E. Mark, Neelavalli, Jaladhar, Cheng, Yu-Chung Norman
• Granted Patent: US 7,782,051 B2
• Time in Patent Office: Days
• US Class Current: 324/307
• CPC Class Codes: G01R 33/56536 due to magnetic susceptibility variations

Abstract

The present invention provides a method of handling rapid phase aliasing in magnetic resonance images arising from local magnetic susceptibility differences. The methods of the present invention can be used to estimate the field effects within an object arising from the interfaces of regions having differences in magnetic susceptibilities, and to subtract out the resulting phase from the original or source phase data prior to any further phase processing. The methods of the present invention also include a process of accurately determining the susceptibility values of multiple voxel regions based on the geometry of such regions.

Claims

1. A method comprising:

obtaining magnetic resonance phase data of an object;

assigning a phase value to each of a plurality of voxels, the phase values being dependent upon the phase data;

dividing the plurality of voxels into at least first and second regions;

assigning an initial susceptibility value to each of the voxels of the first region, the initial susceptibility values of the voxels of the first region being identical to each other;

assigning an initial susceptibility value to each of the voxels of the second region, the initial susceptibility values of the voxels of the second region being identical to each other;

determining which of the plurality of voxels meet a criteria, the criteria being dependent upon a signal-to-noise ratio of the phase values;

assigning a revised susceptibility value to each of the voxels of the first region, the revised susceptibility values of the voxels of the first region being identical to each other and being dependent upon the phase data associated with only the voxels that meet the criteria;

assigning a revised susceptibility value to each of the voxels of the second region, the revised susceptibility values of the voxels of the second region being identical to each other, different from the susceptibility values of the voxels of the first region, and dependent upon the phase data associated with only the voxels that meet the criteria; and

generating an image that is dependent upon the revised susceptibility values.

2. A method in accordance with claim 1 further comprising iteratively repeating the steps of determining which of the plurality of voxels meet a criteria, assigning a revised susceptibility value to each of the voxels of the first region, and assigning a revised susceptibility value to each of the voxels of the second region, and wherein the step of determining which of the plurality of voxels meet a criteria in each iteration is dependent upon the revised susceptibility values assigned in the previous iteration.

3. A method in accordance with claim 2 wherein the repeating of the steps continues until the revised susceptibility values near convergence.

4. A method in accordance with claim 3 wherein the image generated in the step of generating an image is a susceptibility map that is dependent upon the revised susceptibility values after iteratively repeating the steps.

5. A method in accordance with claim 1 wherein the image generated in the step of generating an image is a susceptibility weighted image.

6. A method in accordance with claim 1 wherein the step of dividing the plurality of voxels into at least first and second regions is based on a determination that each of the regions can be treated as having a uniform susceptibility, and wherein the determination is performed by a microprocessor.

7. A method in accordance with claim 6 wherein the image is a susceptibility weighted image.

8. A method in accordance with claim 7 wherein the image is a susceptibility map.

9. A method in accordance with claim 6 wherein the step of generating revised phase values for each of the voxels of the second region consists of subtracting the induced phase value of such voxel from the first phase value of such voxel.

10. A method in accordance with claim 6 wherein the step of dividing the plurality of voxels into at least first and second regions is based on a determination that the voxels of the first region correspond to a region of the object that has a first uniform susceptibility and that the voxels of the second region correspond to another region of the object that has a second uniform susceptibility that differs from the first uniform susceptibility.

11. A method in accordance with claim 10 wherein the determination is made by a microprocessor.

12. A method in accordance with claim 10 wherein the step of assigning each of the voxels in the first region a susceptibility value occurs in a manner such that the voxels in the first region are assigned identical susceptibility values.

13. A method in accordance with claim 6 further comprising:

assigning each of the voxels in the second region a susceptibility value, the susceptibility values of the voxels in the second region being identical to each other;

estimating an induced phase value for each of the voxels of the first region, the induced phase values being dependent upon the susceptibility values of the voxels of the second region;

generating revised phase values for each of the voxels of the first region, the revised phase values being dependent upon the first phase values and the induced phase values of the voxels in the first region; and

wherein the step of generating an image of the object comprises using the revised phase values of the voxels in the first and second regions to generate the image of the object.

14. A method in accordance with claim 13 wherein the steps of assigning each of the voxels in the first region a susceptibility value, and assigning each of the voxels in the second region a susceptibility value comprises an iterative mean-squared-field-error minimization technique to obtain the susceptibility values.

15. A method in accordance with claim 6 wherein the steps of assigning each of the voxels in the first region a susceptibility value, and assigning each of the voxels in the second region a susceptibility value comprises a discrete least squares susceptibility estimation algorithm to obtain the susceptibility values.

16. A method in accordance with claim 6 further comprising:

determining which of the plurality of voxels meet a criteria, the criteria being dependent upon a signal-to-noise ratio of the revised phase values;

assigning a revised susceptibility value to each of the voxels of the first region, the revised susceptibility values of the voxels of the first region being identical to each other and being dependent upon the phase data associated with only the voxels that meet the criteria; and

assigning a revised susceptibility value to each of the voxels of the second region, the revised susceptibility values of the voxels of the second region being identical to each other, different from the susceptibility values of the voxels in the first region, and dependent upon the phase data associated with only the voxels that meet the criteria.

17. A method in accordance with claim 6 further comprising:

assigning an initial susceptibility value to each of the voxels of the first region, the initial susceptibility values of the voxels of the first region being identical to each other;

assigning an initial susceptibility value to each of the voxels of the second region, the initial susceptibility values of the voxels of the second region being identical to each other;

determining which of the plurality of voxels meet a criteria, the criteria being dependent upon a signal-to-noise ratio of the phase values;

assigning a revised susceptibility value to each of the voxels of the first region, the revised susceptibility values of the voxels of the first region being identical to each other and being dependent upon the phase data associated with only the voxels that meet the criteria; and

assigning a revised susceptibility value to each of the voxels of the second region, the revised susceptibility values of the voxels of the second region being identical to each other, different from the susceptibility values of the voxels of the first region, and dependent upon the phase data associated with only the voxels that meet the criteria.

18. A method in accordance with claim 6 further comprising:

dividing the plurality of voxels into at least third and fourth regions;

estimating a second induced phase value for each of the voxels of the fourth region, the second induced phase values being dependent upon susceptibility values of the voxels of the third region; and

generating second revised phase values for each of the voxels of the third region, the revised phase values being dependent upon the revised phase values and the second induced phase values.

6-1. A method comprising:

obtaining magnetic resonance phase data of an object;

assigning a first phase value to each of a plurality of voxels, the first phase values being dependent upon the phase data;

dividing the plurality of voxels into at least first and second regions;

assigning each of the voxels in the first region a susceptibility value;

estimating an induced phase value for each of the voxels of the second region, the induced phase values being dependent upon the susceptibility values of the voxels of the first region;

generating revised phase values for each of the voxels of the second region, the revised phase values being dependent upon the first phase values and the induced phase values; and

generating an image that is dependent upon the revised phase values.