METHOD AND MAGNETIC RESONANCE APPARATUS TO ACQUIRE TEMPORALLY SUCCESSIVE IMAGE DATA SETS

• US 20090028411A1
• Filed: 07/25/2008
• Published: 01/29/2009
• Est. Priority Date: 07/27/2007
• Status: Active Grant

• Current Assignee: Siemens Healthineers AG (Siemens AG)
• Original Assignee: Siemens AG
• Inventors: Pfeuffer, Josef
• Granted Patent: US 8,086,003 B2
• Time in Patent Office: Days
• US Class Current: 382/131
• CPC Class Codes: G01R 33/4806 Functional imaging of brain activation
• CPC Class Codes: G01R 33/4824 using a non-Cartesian trajectory
• CPC Class Codes: G01R 33/561 by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
• CPC Class Codes: G01R 33/56308 Characterization of motion or flow; Dynamic imaging
• CPC Class Codes: G01R 33/56509 due to motion, displacement or flow, e.g. gradient moment nulling G01R33/567 takes precedence

Abstract

In a method and magnetic resonance apparatus for acquisition and processing of a series of temporally successive image data sets of the series of temporally successive image data sets is acquired by magnetic resonance technology, wherein k-space image data corresponding to each image data set are acquired, and for each image data set in the series, a determination is made, in at least one first part of that image data set, of a measure that characterizes a global image intensity value of that image data set. At least one second part of the image data sets is corrected using the determined measures and/or the determined measures are used in an evaluation of at least one third part of the image data sets. A temporal change of the global image intensity value in the series of temporally successive image data sets is compensated or taken into account in this manner.

Claims

1. A method for acquiring and processing a series of temporally successive image data sets, comprising the steps of:

acquiring a series of temporally successive magnetic resonance image data sets using a magnetic resonance data acquisition system, with corresponding k-space image data also being acquired for each of said magnetic resonance image data sets;

for each of respective magnetic resonance image data sets in a first portion of the magnetic resonance image data sets in said series, automatically electronically determining a measure that characterizes a global intensity value of the respective magnetic resonance image data set; and

automatically electronically correcting respective magnetic resonance data sets in a second portion of the image data sets in said series using the respective measures to compensate for a temporal change of the respective global image intensity values for the magnetic resonance image data sets in said series, or using the respective measures to automatically electronically evaluate a third portion of the magnetic resonance image data sets in said series dependent on a temporal change of the respective global image intensity values for the magnetic resonance image data sets in said series.

2. A method as claimed in claim 1, comprising:

if the respective magnetic resonance image data sets in said second portion of said magnetic resonance image data sets in said series are corrected, correcting the respective magnetic resonance image data sets in said second portion of said magnetic resonance image data sets in said series by making said second portion correspond to said first portion; and

if said measures are used to evaluate said third portion of the magnetic resonance image data sets in said series, making said third portion correspond to said first portion.

3. A method as claimed in claim 2 comprising employing, as said first portion of the magnetic resonance image data sets in said series, all of said magnetic resonance image data sets in said series.

4. A method as claimed in claim 1 comprising acquiring said k-space image data using a technique selected from the group consisting of echo planar imaging and helical scanning of k-space.

5. A method as claimed in claim 1 comprising acquiring a navigator signal in addition to said k-space image data in the acquisition of the k-space image data for said first portion of said magnetic resonance image data sets in said series, and determining said measure by automatically electronically evaluating said navigator signal.

6. A method as claimed in claim 5 comprising scanning a central region of the k-space image data in k-space, using the navigator signal, for each of said k-space image data sets.

7. A method as claimed in claim 5 comprising acquiring said navigator signal between an excitation pulse and acquisition of the k-space image data following said excitation pulse.

8. A method as claimed in claim 5 comprising generating at least two different excitation pulses and respectively acquiring said navigator signal and said k-space image data after said different excitation pulses.

9. A method as claimed in claim 1 comprising automatically electronically determining said measure by evaluating k-space image data in a central region of k-space for the magnetic resonance image data sets in said first portion of magnetic resonance image data sets in said series.

10. A method as claimed in claim 1 comprising acquiring at least one external signal in addition to the k-space image data for the magnetic resonance image data sets in said first portion of magnetic resonance image data sets in said series, said signal characterizing an operating state of a component of said magnetic resonance apparatus or a state of an examination subject in the measurement chamber of the magnetic resonance apparatus.

11. A method as claimed in claim 1 comprising, if the respective magnetic resonance image data sets in the second portion of magnetic resonance image data sets in said series are corrected, setting the respective measures relative to a reference measure and correcting the respective magnetic resonance image data sets in said second portion with respect to said reference measure.

12. A method as claimed in claim 1 comprising, if the respective magnetic resonance image data sets in said second portion of said magnetic resonance image data sets in said series are corrected, correcting the respective magnetic resonance image data sets in said second portion of said magnetic resonance image data sets in said series during acquisition of the k-space image data.

13. A method as claimed in claim 1 comprising, if the respective magnetic resonance image data sets in said second portion of said magnetic resonance image data sets in said series are corrected, correcting the respective magnetic resonance image data sets in said second portion of said magnetic resonance image data sets in said series after completion of acquisition of the k-space image data.

14. A method as claimed in claim 1 comprising, if the respective magnetic resonance image data sets in said third portion of said magnetic resonance image data sets in said series are evaluated, automatically electronically evaluating the respective magnetic resonance data sets in said third portion of magnetic resonance data sets in said series using a statistical evaluation technique.

15. A method as claimed in claim 14 comprising using a linear statistical model in said statistical evaluation technique.

16. A method as claimed in claim 14 comprising using said measures as regressors in said statistical evaluation technique.

17. A method as claimed in claim 1 comprising acquiring said temporally successive magnetic resonance image data sets in said series using a functional magnetic resonance imaging data acquisition sequence.

18. A magnetic resonance apparatus comprising:

a magnetic resonance data acquisition unit configured to receive an examination subject therein to acquire a series of temporally successive magnetic resonance image data sets from the subject, with corresponding k-space image data being acquired for each magnetic resonance data set in said series; and

a processor configured to automatically determined, for each of respective magnetic resonance image data sets in a first portion of the image data sets in said series, a measure that characterizes a global intensity value of the respective magnetic resonance image data sets, and to automatically correct respective magnetic resonance data sets in a second portion of the image data sets in said series by using the respective measures to compensate for a temporal change of the respective global image intensity values for the magnetic resonance image data sets in said series, or using the respective measures to automatically evaluate at least a third portion of the magnetic resonance image data sets in said series dependent on a temporal change of the respective global image intensity values for the magnetic resonance image data sets in said series.

19. A magnetic resonance apparatus as claimed in claim 18 wherein said magnetic resonance data acquisition unit acquires said series of temporally successive magnetic resonance image data sets using a functional magnetic resonance imaging data acquisition sequence.