IP Library Granted Patent US 9,234,951
Granted Patent B2
US 9,234,951 · App. 13/714,861 · Granted Jan 12, 2016

Method and device to generate magnetic resonance image data of an examination subject

Inventor: David Grodzki (Erlangen, DE)
Assignee: Siemens Aktiengesellschaft
G01R33/44G01R33/4625G01R33/56572G01R33/4824
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Quick Facts
Patent No.
US 9,234,951
App. No.
13/714,861
Granted
Jan 12, 2016
Kind
B2
Abstract

In a method, magnetic resonance system and a reconstruction device for generation of magnetic resonance image data of an examination subject, raw magnetic resonance data are acquired in k-space, the raw magnetic resonance data including measurement values at multiple readout points that are arranged along multiple different trajectories in k-space. A displacement value is determined for each trajectory on the basis of the measurement values of a collection of multiple trajectories. Readout points of the raw magnetic resonance data are displaced by the displacement value, and image data are reconstructed from the displaced raw magnetic resonance data.

Claims (25)

1. A method to generate magnetic resonance image data of an examination subject, comprising:

acquiring raw magnetic resonance data in a memory representing k-space, said raw magnetic resonance data comprising measurement values at multiple readout points at which said magnetic resonance data was readout from an examination subject, said multiple readout points being organized in k-space along multiple different trajectories in k-space;

in a processor having access to k-space in said memory, automatically determining a displacement value for each trajectory among said multiple different trajectories based on measurement values of a collection of said multiple different trajectories;

in said processor, displacing, within and along each trajectory, said readout points of the raw magnetic resonance data in k-space by said displacement value, thereby producing displaced raw magnetic resonance data; and

in said processor, reconstructing image data of the examination subject based on the displaced raw magnetic resonance data, and making said image data available as a data file at an output of said processor.

2. A method as claimed in claim 1 comprising organizing said multiple different trajectories in k-space so as to proceed radially through k-space.

3. A method as claimed in claim 1 comprising determining said displacement value solely by calculation or counting of at least one of values of the respective trajectory and the collection of multiple different trajectories, and measurement values of the readout points on the respective trajectory or trajectories.

4. A method as claimed in claim 1 comprising determining a maximum point having a maximum value among said measurement values, and determining said displacement value based on said maximum point.

5. A method as claimed in claim 4 comprising establishing said displacement value for at least one of said trajectories as a combination of maximum points respectively for the collection of multiple different trajectories, and a destination point on the respective trajectory.

6. A method as claimed in claim 5 comprising establishing said destination point for at least one of said trajectories based on a relative position of the readout points along said at least one of said trajectories.

7. A method as claimed in claim 4 comprising establishing said destination point for at least one of said trajectories based on a combination of maximum points of the collection of multiple different trajectories.

8. A method as claimed in claim 7 comprising establishing, for said at least one of said trajectories, a trajectory-dependent displacement value based on a difference between said destination point and the maximum point of said at least one of said trajectories.

9. A method as claimed in claim 1 comprising organizing said readout points in k-space with identical spacing from each other along at least one dimension of k-space, according to a predetermined rule.

10. A method as claimed in claim 1 comprising selecting a number of trajectories in said multiple different trajectories that is less than a number of all trajectories that are acquired to generate said magnetic resonance image data.

11. A method as claimed in claim 1 comprising displacing said readout points by said displacing value at least in part during acquisition of additional raw magnetic resonance data.

12. A method as claimed in claim 1 comprising filling k-space with additional raw data based on the acquired raw magnetic resonance data and displacing k-space coordinates by said displacement value before or during filling of k-space.

13. A method as claimed in claim 1 comprising acquiring said magnetic resonance data by operating a magnetic resonance data acquisition unit with a gradient echo sequence.

14. A reconstruction device to generate magnetic resonance image data of an examination subject, comprising:

a raw data interface configured to acquire raw magnetic resonance data in a memory representing k-space, said raw magnetic resonance data comprising measurement values at multiple readout points at which said magnetic resonance data was readout from an examination subject, said multiple readout points being organized in k-space along multiple different trajectories in k-space;

a displacement value determination unit having access to k-space in said memory, configured to automatically determine a displacement value for each trajectory among said multiple different trajectories based on measurement values of a collection of said multiple different trajectories;

a correction unit configured to displace, within and along each trajectory, said readout points of the raw magnetic resonance data in k-space by said displacement value, thereby producing displaced raw magnetic resonance data; and

a reconstruction unit configured to reconstruct image data of the examination subject based on the displaced raw magnetic resonance data, and making said image data available as a data file at an output of said reconstruction unit.

15. A magnetic resonance imaging system comprising:

a magnetic resonance data acquisition unit; and

a reconstruction device comprising a raw data interface in communication with said data acquisition unit, configured to require raw magnetic resonance data in a memory representing k-space, said raw magnetic resonance data comprising measurement values at multiple readout points at which said magnetic resonance data was readout from an examination subject, said multiple readout points being organized in k-space along multiple different trajectories in k-space, a displacement value determination unit having access to k-space in said memory, configured to automatically determine a displacement value for each trajectory among said multiple different trajectories based on measurement values of a collection of said multiple different trajectories, a correction unit configured to displace, within and along each trajectory, said readout points of the raw magnetic resonance data in k-space by said displacement value, thereby producing displaced raw magnetic resonance data, and a reconstruction unit configured to reconstruct image data of the examination subject based on the displaced raw magnetic resonance data, and making said image data available as a data file at an output of said reconstruction unit.

Assignments (4)
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE PREVIOUSLY RECORDED AT REEL: 066088 FRAME: 0256. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jan 17, 2024
From: SIEMENS HEALTHCARE GMBH
To: SIEMENS HEALTHINEERS AG
Reel/Frame 071178/0246 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 20, 2023
From: SIEMENS HEALTHCARE GMBH
To: SIEMENS HEALTHINEERS AG
Reel/Frame 066088/0256 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 21, 2016
From: SIEMENS AKTIENGESELLSCHAFT
To: SIEMENS HEALTHCARE GMBH
Reel/Frame 040656/0054 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 9, 2013
From: GRODZKI, DAVID
To: SIEMENS AKTIENGESELLSCHAFT
Reel/Frame 030176/0905 →
Priority Claims (1)
DE 10 2011 088 553 · Dec 14, 2011 · national
Continuity (1)
Related Publication 20130154641A1 · Jun 20, 2013