Method for determining a type of a reconstruction of image data from a magnetic resonance measurement of an examination object by means of a magnetic resonance device

1. A method for determining a type of reconstruction of image data from a magnetic resonance measurement of an examination object via a magnetic resonance device, the method comprising:

determining at least one first parameter which comprises information about a breathing process of the examination object;

comparing the at least one first parameter with at least one second parameter from a maintained database; and

determining the type of reconstruction of image data from the magnetic resonance measurement according to the comparison.

2. The method of claim 1 , wherein at least one of the at least one first parameter and the at least one second parameter is derived from a histogram of respiratory phases.

3. The method of claim 2 , wherein at least one of the at least one first parameter and the at least one second parameter includes at least one regression coefficient.

4. The method of claim 2 , wherein the type of reconstruction of image data from the magnetic resonance measurement comprises a breathing gating.

5. The method of claim 2 , wherein the type of reconstruction of image data from the magnetic resonance measurement comprises a movement-compensated reconstruction.

6. The method of claim 1 , wherein at least one of the at least one first parameter and the at least one second parameter includes at least one regression coefficient.

7. The method of claim 6 , wherein the type of reconstruction of image data from the magnetic resonance measurement comprises a breathing gating.

8. The method of claim 6 , wherein the type of reconstruction of image data from the magnetic resonance measurement comprises a movement-compensated reconstruction.

9. The method of claim 1 , wherein the type of reconstruction of image data from the magnetic resonance measurement comprises a breathing gating.

10. The method of claim 1 , wherein the type of reconstruction of image data from the magnetic resonance measurement comprises a movement-compensated reconstruction.

11. The method of claim 1 , wherein the maintained database comprises a self-learning system.

12. A memory unit of a programmable controller of a magnetic resonance device, including a computer program including program segments configured to execute the method of claim 1 upon the computer program being run in the controller of the magnetic resonance device.

13. A non-transitory computer-readable storage medium comprising electronically readable control information stored thereon, configured in such that when the storage medium is used in a controller of a magnetic resonance device, the method of claim 1 is carried out.

14. A magnetic resonance device for the reconstruction of image data from a magnetic resonance measurement of an examination object, the magnetic resonance device comprising:

a reconstruction unit; and

a processing unit, the processing unit being designed to:

determine at least one first parameter which comprises information about a breathing process of the examination object,

compare the at least one first parameter with at least one second parameter from a maintained database, and

determine the type of reconstruction of image data from the magnetic resonance measurement, to be performed by the reconstruction unit, according to the comparison.

15. A method for determining a type of reconstruction of image data from a magnetic resonance measurement of an examination object via a magnetic resonance device from a group of at least two reconstruction methods, comprising:

determining at least one first parameter which comprises information about a breathing process of the examination object;

ascertaining at least one comparison value that describes an improvement in image quality between two of the at least two image reconstruction methods using a correlation that evaluates the at least one first parameter and described by regression coefficients, wherein the regression values are ascertained by a regression in training data which contains at least one second parameter, each corresponding to the at least one first parameter, each with associated comparison values; and

electing a reconstruction method for the image data from the magnetic resonance measurement as a function of the ascertained at least one comparison value.

16. The method of claim 15 , wherein at least one of the at least one first parameter and the at least one second parameter are derived from a histogram of respiratory phases.

17. The method of claim 16 , wherein the reconstruction method comprises a weighted reconstruction according to retrospective breathing gating and a movement-compensated reconstruction.

18. The method of claim 15 , wherein the reconstruction method comprises a weighted reconstruction according to retrospective breathing gating and a movement-compensated reconstruction.

19. A memory unit of a programmable controller of a magnetic resonance device, including a computer program including program segments configured to execute the method of claim 15 upon the computer program being run in the controller of the magnetic resonance device.

20. A non-transitory computer-readable storage medium comprising electronically readable control information stored thereon, configured in such that when the storage medium is used in a controller of a magnetic resonance device, the method of claim 15 is carried out.