Magnetic resonance imaging with different frequency encoding patterns

1. A method for magnetic resonance imaging, comprising:

operating a magnetic resonance scanner to detect signals representing raw magnetic resonance data from a region of an examination subject via a number of magnetic resonance receiving antennas of the magnetic resonance scanner, with an image reconstruction algorithm being subsequently applied to said raw magnetic resonance data so as to reconstruct an image, comprised of image elements, of the examination subject, with said image elements representing a signal strength of said signals, each of said magnetic resonance receiving antennas having a signal reception sensitivity, which has a dependency on frequency that attenuates said signal strength;

in a processor, making a frequency-dependent determination of calibration values for at least one of said magnetic resonance receiving antennas so that the calibration values have a value contribution resulting from said dependency on frequency of the sensitivity of said at least one of said magnetic resonance receiving antennas, that compensates for the attenuation of said signal strength; and

in said processor, executing said image reconstruction algorithm so as to reconstruct said image based on the raw magnetic resonance data using the determined calibration values, so that said image elements of said image are not adulterated by said attenuation of said signal strength.

2. A method as claimed in claim 1 comprising determining several sets of said calibration values for respectively different frequency encoding patterns that are used for acquiring the raw data.

3. The method as claimed in claim 2 comprising entering said raw magnetic resonance data into k-space using a Cartesian acquisition pattern as the frequency encoding pattern, with adjacent rows in k-space being in opposite directions, and with different calibration values being determined for each of said opposite directions.

4. A method as claimed in claim 2 comprising entering said raw magnetic resonance data into k-space along a radial trajectory pattern as said frequency encoding pattern.

5. A method as claimed in claim 4 comprising entering said raw magnetic resonance data into k-space along at least two radial trajectories oriented at a non-zero angle relative to each another in k-space.

6. A method as claimed in claim 4 comprising entering said raw magnetic resonance data into k-space along at least four radial trajectories respectively oriented at 45° relative to each another in k-space.

7. A method as claimed in claim 4 comprising using a data acquisition method selected from the group consisting of a BLADE method and a PROPELLER method for determining said calibration measurement data.

8. A method as claimed in claim 1 comprising, while determining said calibration values, acquiring a plurality of sets of calibration measurement data for respectively different frequency encoding patterns, and determining the calibration values from the acquired calibration measurement data.

9. A method as claimed in claim 1 comprising determining said calibration values as values in the image domain or as interpolation weightings in k-space.

10. A method as claimed in claim 1 comprising determining multiple sets of said calibration values based on a transmit profile measurement or a reception profile measurement.

11. A method as claimed in claim 1 comprising performing the image reconstruction based on values interpolated between the determined calibration values.

12. A method as claimed in claim 1 comprising using a non-linear gradient profile to generate a frequency encoding pattern for acquiring the raw data.

13. A control device for a magnetic resonance apparatus, comprising:

a processor configured to receive raw magnetic resonance data acquired by detecting signals from a region of an examination subject via a number of magnetic resonance receiving antennas of a magnetic resonance scanner of the magnetic resonance apparatus, with an image reconstruction algorithm being subsequently applied to said raw magnetic resonance data so as to reconstruct an image, comprised of image elements, of the examination subject, with said image elements representing a signal strength of said signals, each of said magnetic resonance receiving antennas having a signal reception sensitivity, which has a dependency on frequency that attenuates said signal strength;

said processor being configured to make a frequency-dependent determination of calibration values for at least one of said magnetic resonance receiving antennas so that the calibration values have a value contribution, resulting from said dependency on frequency of the sensitivity of said at least one of said magnetic resonance receiving antennas, that compensates for the attenuation of said signal strength; and

said processor being configured to execute said image reconstruction algorithm so as to reconstruct said image based on the raw magnetic resonance data using the determined calibration values, so that said image elements of said image are not adulterated by said attenuation of said signal strength.

14. A magnetic resonance apparatus comprising:

a magnetic resonance seamier comprising a number of magnetic resonance receiving antennas, each having a signal reception sensitivity that has a dependency on frequency;

a control computer configured to operate said magnetic resonance scanner to detect signals representing raw magnetic resonance data from a region of an examination subject via said number of magnetic resonance receiving antennas of the magnetic resonance scanner with an image reconstruction algorithm being subsequently applied to said raw magnetic resonance data so as to reconstruct an image, comprised of image elements, of the examination subject, with said image elements representing a signal strength of said signals, said signal reception sensitivity that has a dependency on frequency causing an attenuation of said signal strength;

said control computer being configured to make a frequency-dependent determination of calibration values for at least one of said magnetic resonance receiving antennas so that the calibration values have a value contribution resulting from said dependency on frequency of the sensitivity of said at least one of said magnetic resonance receiving antennas, that compensates for the attenuation of said signal strength; and

said control computer being configured to execute said image reconstruction algorithm so as to reconstruct said image based on the raw magnetic resonance data using the determined calibration values, so that said image elements of said image are not adulterated by said attenuation of said signal strength.

15. A non-transitory, computer-readable data storage medium encoded with programming instructions, said storage medium being loaded into a processor of a magnetic resonance apparatus that comprises a magnetic resonance scanner having a number of magnetic resonance receiving antennas, each of said receiving antennas having a signal reception sensitivity that has a dependency on frequency, and said programming instructions causing said processor to:

operate said magnetic resonance scanner to detect signals representing raw magnetic resonance data from a region of an examination subject via said number of magnetic resonance receiving antennas of the magnetic resonance scanner, with an image reconstruction algorithm being subsequently applied to said raw magnetic resonance data so as to reconstruct an image, comprised of image elements, of the examination subject, with said image elements representing a signal strength of said signals, said signal reception sensitivity that has a dependency on frequency causing an attenuation of said signal strength;

make a frequency-dependent determination of calibration values for at least one of said magnetic resonance receiving antennas so that the calibration values have a value contribution, resulting from said dependency on frequency of the sensitivity of said at least one of said magnetic resonance receiving antennas, that compensates for the attenuation of said signal strength; and

execute said image reconstruction algorithm to reconstruct said image based on the raw magnetic resonance data using the determined calibration values, so that said image elements of said image are not adulterated by said attenuation of said signal strength.