Method for determining a position-dependent attenuation map of surface coils of a magnetic resonance/PET apparatus

1. A method for determining a position-dependent attenuation map of at least one surface coil of a combined magnetic resonance/positron emission tomography (PET) apparatus, the at least one surface coil including a plurality of coils, the method comprising:

acquiring magnetic resonance image data by way of the at least one surface coil during a magnetic resonance/PET examination of a patient;

reconstructing a position of the at least one surface coil based on the acquired magnetic resonance image data;

determining the position-dependent attenuation map of the at least one surface coil based on the reconstructed position of the at least one surface coil;

wherein the acquiring magnetic resonance image data includes at least one of acquiring and reconstructing individual images of the plurality of coils;

wherein the reconstructing a position of the at least one surface coil includes determining at least one reference shape for at least one of the plurality of coils based on the individual images of the plurality of coils; and

wherein the determining at least one reference shape includes

a threshold value analysis of a signal intensity distribution in the individual images of the plurality of coils, and

determining a focal point of the signal intensity distribution in the individual images of the plurality of coils.

2. The method of claim 1 , further comprising:

acquiring whole-body coil image data during the magnetic resonance/PET examination of the patient by way of a whole-body coil of the combined magnetic resonance/PET apparatus;

normalizing the magnetic resonance image data based on the whole-body coil image data; and wherein

the position of the at least one surface coil is reconstructed based on at least one of the normalized magnetic resonance image data and the acquired magnetic resonance image data.

3. The method of claim 2 , further comprising:

performing a calibration process, the calibration process including outputting training data; and wherein

the position of the at least one surface coil is reconstructed based on the acquired magnetic resonance image data and the training data.

4. The method of claim 3 , wherein the calibration process comprises:

acquiring a plurality of magnetic resonance training image datasets of at least one training object by way of the at least one surface coil, the at least one surface coil being positioned at different positions relative to at least one of a reference point of the combined magnetic resonance/PET apparatus and a reference point of the at least one training object;

performing principal component analysis using the plurality of magnetic resonance training image datasets as input data; and

outputting the training data, the training data including results of the principal component analysis.

5. The method of claim 4 , wherein the acquiring a plurality of magnetic resonance training image datasets comprises:

step-by-step repositioning of the at least one surface coil to acquire the plurality of magnetic resonance training image datasets in at least one spatial direction.

6. The method of claim 1 , further comprising:

performing a calibration process, the calibration process including outputting training data; and wherein

the position of the at least one surface coil is reconstructed based on the acquired magnetic resonance image data and the training data.

7. The method of claim 6 , wherein the calibration process further comprises:

acquiring a plurality of magnetic resonance training image datasets of at least one training object by way of the at least one surface coil, the at least one surface coil being positioned at different positions relative to at least one of a reference point of the combined magnetic resonance/PET apparatus and a reference point of the at least one training object;

performing principal component analysis using the plurality of magnetic resonance training image datasets as input data; and

outputting the training data including results of the principal component analysis.

8. The method of claim 7 , wherein the acquiring a plurality of magnetic resonance training image datasets comprises:

a step-by-step repositioning of the at least one surface coil to acquire the plurality of magnetic resonance training image datasets in at least one spatial direction.

9. The method of claim 8 , further comprising:

editing the plurality of magnetic resonance training image datasets; and wherein

the principal component analysis is performed using the edited plurality of magnetic resonance training image datasets as input data.

10. The method of claim 7 , further comprising:

editing the plurality of magnetic resonance training image datasets; and wherein

the principal component analysis is performed using the edited plurality of magnetic resonance training image datasets as input data.

11. The method of claim 1 , wherein the determining the position-dependent attenuation map comprises:

integrating a general attenuation map of the at least one surface coil into a global attenuation map of the combined magnetic resonance/PET apparatus for attenuation correction of PET image datasets, the integrating a general attenuation map including

registering the general attenuation map based on the at least one reference shape for the at least one of the plurality of coils.

12. The method of claim 1 , wherein the determining the position-dependent attenuation map comprises:

integrating a general attenuation map of the at least one surface coil into a global attenuation map of the combined magnetic resonance/PET apparatus for attenuation correction of PET image datasets, the integrating a general attenuation map including

registering the general attenuation map based on the reconstructed position of the at least one surface coil.

13. The method of claim 1 , wherein the reconstructing a position of the at least one surface coil is further based on (i) information relating to at least one of a structure and a geometry of the at least one surface coil, and (ii) information relating to properties of an examination object examined during the magnetic resonance/PET examination.

14. A magnetic resonance/PET apparatus comprising:

at least one surface coil including a plurality of coils; and

one or more processors configured to execute computer-readable instructions to determine a position-dependent attenuation map of the at least one surface coil by

acquiring magnetic resonance image data by way of the at least one surface coil during a magnetic resonance/PET examination of a patient;

reconstructing a position of the at least one surface coil based on the acquired magnetic resonance image data;

determining the position-dependent attenuation map of the at least one surface coil based on the reconstructed position of the at least one surface coil;

wherein the acquiring magnetic resonance image data includes at least one of acquiring and reconstructing individual images of the plurality of coils;

wherein the reconstructing a position of the at least one surface coil includes determining at least one reference shape for at least one of the plurality of coils based on the individual images of the plurality of coils; and

wherein the determining at least one reference shape includes

a threshold value analysis of a signal intensity distribution in the individual images of the plurality of coils, and

determining a focal point of the signal intensity distribution in the individual images of the plurality of coils.

15. A non-transitory computer-readable storage medium storing computer-readable instructions that, when executed by a programmable computing unit of a combined magnetic resonance/positron emission tomography (PET) apparatus, cause the programmable computing unit to perform a method for determining a position-dependent attenuation map of at least one surface coil of the combined magnetic resonance/PET apparatus, the at least one surface coil including a plurality of coils, and the method comprising:

acquiring magnetic resonance image data by way of the at least one surface coil during a magnetic resonance/PET examination of a patient;

reconstructing a position of the at least one surface coil based on the acquired magnetic resonance image data;

determining the position-dependent attenuation map of the at least one surface coil based on the reconstructed position of the at least one surface coil;

wherein the acquiring magnetic resonance image data includes at least one of acquiring and reconstructing individual images of the plurality of coils;

wherein the reconstructing a position of the at least one surface coil includes determining at least one reference shape for at least one of the plurality of coils based on the individual images of the plurality of coils; and

wherein the determining at least one reference shape includes

a threshold value analysis of a signal intensity distribution in the individual images of the plurality of coils, and

determining a focal point of the signal intensity distribution in the individual images of the plurality of coils.

16. A method for determining a position-dependent attenuation map of at least one surface coil of a combined magnetic resonance/positron emission tomography (PET) apparatus, the method comprising:

acquiring magnetic resonance image data by way of the at least one surface coil during a magnetic resonance/PET examination of a patient;

acquiring whole-body coil image data during the magnetic resonance/PET examination of the patient by way of a whole-body coil of the combined magnetic resonance/PET apparatus;

normalizing the magnetic resonance image data based on the whole-body coil image data;

reconstructing a position of the at least one surface coil based on at least one of the normalized magnetic resonance image data and the acquired magnetic resonance image data;

determining the position-dependent attenuation map of the at least one surface coil based on the reconstructed position of the at least one surface coil;

wherein the at least one surface coil includes a plurality of coils;

wherein the reconstructing a position of the at least one surface coil includes determining at least one reference shape for at least one of the plurality of coils based on individual images of the plurality of coils; and

wherein the determining at least one reference shape includes

a threshold value analysis of a signal intensity distribution in the individual images of the plurality of coils, and

determining a focal point of the signal intensity distribution in the individual images of the plurality of coils.

17. The method of claim 16 , wherein the determining the position-dependent attenuation map comprises:

integrating a general attenuation map of the at least one surface coil into a global attenuation map of the combined magnetic resonance/PET apparatus for attenuation correction of PET image datasets, the integrating a general attenuation map including

registering the general attenuation map based on the at least one reference shape for the at least one of the plurality of coils.

18. The method of claim 16 , wherein

the acquiring magnetic resonance image data includes at least one of acquiring and reconstructing the individual images of the plurality of coils.

19. A method for determining a position-dependent attenuation map of at least one surface coil of a combined magnetic resonance/positron emission tomography (PET) apparatus, the method comprising:

acquiring magnetic resonance image data by way of the at least one surface coil during a magnetic resonance/PET examination of a patient;

acquiring a plurality of magnetic resonance training image datasets of at least one training object by way of the at least one surface coil, the at least one surface coil being positioned at different positions relative to at least one of a reference point of the combined magnetic resonance/PET apparatus and a reference point of the at least one training object;

performing a principal component analysis using the plurality of magnetic resonance training image datasets as input data;

outputting training data including results of the principal component analysis;

reconstructing a position of the at least one surface coil based on the acquired magnetic resonance image data and the training data; and

determining the position-dependent attenuation map of the at least one surface coil based on the reconstructed position of the at least one surface coil;

wherein the at least one surface coil includes a plurality of coils;

wherein the reconstructing a position of the at least one surface coil includes determining at least one reference shape for at least one of the plurality of coils based on individual images of the plurality of coils; and

wherein the determining at least one reference shape includes

a threshold value analysis of a signal intensity distribution in the individual images of the plurality of coils, and

determining a focal point of the signal intensity distribution in the individual images of the plurality of coils.