Under-sampled 3D MRI using a shells k-space sampling trajectory

• US 20060226836A1
• Filed: 01/27/2006
• Published: 10/12/2006
• Est. Priority Date: 04/12/2005
• Status: Active Grant

• Current Assignee: Mayo Foundation For Medical Education And Research (Mayo Clinic)
• Original Assignee: Mayo Foundation For Medical Education And Research (Mayo Clinic)
• Inventors: Shu, Yunhong, Bernstein, Matthew A.
• Granted Patent: US 7,245,124 B2
• Time in Patent Office: Days
• US Class Current: 324/309
• CPC Class Codes: G01R 33/54 Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
• CPC Class Codes: G01R 33/56509 due to motion, displacement or flow, e.g. gradient moment nulling G01R33/567 takes precedence

Abstract

A 3D MRI image is acquired as a series of spherical shells of increasing radius. Each shell is sampled by one or more interleaved spiral sampling trajectories and to shorten the scan time one or more spiral sampling trajectories are skipped in the larger shells that sample the periphery of k-space. Motion correction of the acquired k-space data is accomplished by reconstructing tracking images from each of the shells and locating markers therein which indicate object movement from a reference position. The k-space data is corrected using this movement information.

Claims

1. In a method for sampling k-space during a scan with a magnetic resonance imaging (MRI) system that samples k-space as a series of substantially spherical shells of different radius, the improvement comprising:

a) sampling each shell with a helical spiral sampling trajectory;

b) sampling shells of larger radius with additional helical spiral sampling trajectories that are interleaved with other helical spiral sampling trajectories in the same shell; and

c) undersampling the periphery of k-space by skipping the acquisition of k-space samples in helical spiral sampling trajectories in shells of larger radius.

2. The method as recited in claim 1 in which entire helical spiral sampling trajectories are selectively skipped.

3. The method as recited in claim 1 in which the amount of undersampling as a function of shell radius is determined by a monotonically decreasing function.

4. The method as recited in claim 3 in which the monotonically decreasing function is a Kaiser window.

5. The method as recited in claim 1 in which step c) includes selecting the amount of undersampling.

6. The method as recited in claim 1 in which shells are acquired in step a) in a centric order in which the k-space radius of the acquired shells progressively increases with time.

7. A method for producing an image of an object with a magnetic resonance imaging (MRI) system, the steps comprising:

a) acquiring k-space data by performing a series of pulse sequences with the MRI system that sample a series of shells;

b) reconstructing a reference tracking image from k-space data sampled during one or more of the shell trajectories;

c) reconstructing a tracking image from other k-space data sampled during another one or more of the shell trajectories;

d) detecting the movement of the object by comparing the tracking image 10 with the reference tracking image;

e) correcting the k-space data used in step c) for the movement detected in step d)

f) repeating steps c), d) and e) until all of the acquired k-space data are corrected for object movement; and

g) reconstructing an image with the corrected k-space data.

8. The method as recited in claim 7 in which each shell is substantially spherical in shape, is concentric about the origin of k-space, and has a different radius than the other shells.

9. The method as recited in claim 7 in which each shell is sampled by one or more interleaved spiral sampling trajectories.

10. The method as recited in claim 7 in which three markers are positioned to move with the object and step d) is performed by detecting the location of the markers in the reference tracking image and the tracking image and calculating the change in location of said markers.

11. The method as recited in claim 10 in which the markers are each substantially a point NMR signal source that produces a distinctive pattern in the reconstructed tracking images.

12. The method as recited in claim 11 in which the distinctive pattern is spherically concentric.