Providing a patient model of a patient

1. A method for providing a patient model of a patient, comprising:

receiving a first patient model of the patient via an interface, the first patient model being a multi-parametric patient model and the first patient model including a first image dataset of the patient, the first image dataset being coordinated relative to a patient coordinate system;

receiving a second image dataset of the patient via the interface, the second image dataset being based on a medical imaging apparatus and being coordinated relative to a device coordinate system, the device coordinate system being a coordinate system relative to the medical imaging apparatus;

determining, via at least one of a processor or processing circuitry, a transformation function to transform the device coordinate system into the patient coordinate system;

determining, via the at least one of the processor or processing circuitry, a transformed second image dataset based on the second image dataset and the transformation function;

determining, via the at least one of the processor or processing circuitry, a modified first image dataset by adapting the first image dataset to an anatomy of the patient associated with the transformed second image dataset; and

providing, via the interface, a second patient model of the patient, the second patient model being a multi-parametric patient model, and the second patient model including the modified first image dataset and the transformed second image dataset.

2. The method of claim 1 , wherein the transformation function is based on a comparison of the first image dataset to the second image dataset.

3. The method of claim 2 , further comprising:

determining, via the at least one of the processor or processing circuitry, a patient-specific image-recording parameter based on the first image dataset; and

providing the patient-specific image-recording parameter via the interface.

4. The method of claim 2 , wherein

the receiving a second image dataset is performed after the determining of the transformation function; and

the receiving a second image dataset includes

receiving raw data via the interface, the raw data based on an examination of the patient via the medical imaging apparatus,

determining, via the at least one of the processor or processing circuitry, a reconstruction constraint based on the first patient model; and

reconstructing, via the at least one of the processor or processing circuitry, the second image dataset based on the raw data and the reconstruction constraint.

5. The method of claim 2 , wherein the first image dataset is a template-image dataset and the template-image dataset is selected based on a patient parameter of the patient.

6. The method of claim 2 , further comprising:

determining, via the at least one of the processor or processing circuitry, a patient-specific exposure parameter based on the transformed second image dataset.

7. The method of claim 2 , wherein the second patient model comprises a hash value of the first patient model.

8. The method of claim 1 , further comprising:

receiving a registration image via the interface, wherein

the transformation function is based on the registration image.

9. The method of claim 8 , wherein the registration image is a three-dimensional optical image of the patient, the three-dimensional optical image being recorded with an optical image recording unit and the optical image recording unit being arranged on the medical imaging apparatus.

10. The method of claim 1 , further comprising:

determining, via the at least one of the processor or processing circuitry, a patient-specific image-recording parameter based on the first image dataset; and

providing the patient-specific image-recording parameter via the interface.

11. The method of claim 1 , wherein

the receiving a second image dataset is performed after the determining of the transformation function; and

the receiving a second image dataset includes

receiving raw data via the interface, the raw data based on an examination of the patient via the medical imaging apparatus,

determining, via the at least one of the processor or processing circuitry, a reconstruction constraint based on the first patient model; and

reconstructing, via the at least one of the processor or processing circuitry, the second image dataset based on the raw data and the reconstruction constraint.

12. The method of claim 11 , wherein the determining, via the at least one of the processor or processing circuitry, a reconstruction constraint based on the first patient model, comprises:

determining the reconstruction constraint based on the first image dataset.

13. The method of claim 1 , wherein the first image dataset is a template-image dataset and the template-image dataset is selected based on a patient parameter of the patient.

14. The method of claim 1 , further comprising:

determining, via the at least one of the processor or processing circuitry, a patient-specific exposure parameter based on the transformed second image dataset.

15. The method of claim 1 , wherein the second patient model comprises a hash value of the first patient model.

16. The method of claim 1 , wherein the adapting adapts the first image dataset to conform to the anatomy of the patient associated with the transformed second image dataset to determine the modified first image dataset.

17. A providing unit for providing a patient model, comprising:

an interface configured to

receive a first patient model of a patient, the first patient model being a multi-parametric patient model and including a first image dataset of the patient, and the first image dataset being coordinated relative to a patient coordinate system,

receive a second image dataset of the patient, the second image dataset being based on a medical imaging apparatus and being coordinated relative to a device coordinate system, the device coordinate system being a coordinate system relative to the medical imaging apparatus, and

provide a second patient model of the patient, the second patient model being a multi-parametric patient model and including a modified first image dataset and a transformed second image dataset; and

at least one of a processor or processing circuitry configured to

determine a transformation function to transform the device coordinate system into the patient coordinate system,

determine the transformed second image dataset based on the second image dataset and the transformation function, and

determine the modified first image dataset by adapting the first image dataset to an anatomy of the patient associated with the transformed second image dataset.

18. A medical imaging apparatus comprising:

a providing unit for providing a patient model, the providing unit including

an interface configured to

receive a first patient model of a patient, the first patient model being a multi-parametric patient model and including a first image dataset of the patient, and the first image dataset being coordinated relative to a patient coordinate system,

receive a second image dataset of the patient, the second image dataset being based on the medical imaging apparatus and being coordinated relative to a device coordinate system, the device coordinate system being a coordinate system relative to the medical imaging apparatus, and

provide a second patient model of the patient, the second patient model being a multi-parametric patient model and including a modified first image dataset and a transformed second image dataset, and

at least one of a processor or processing circuitry configured to

determine a transformation function to transform the device coordinate system into the patient coordinate system,

determine the transformed second image dataset based on the second image dataset and the transformation function, and

determine the modified first image dataset by adapting the first image dataset to an anatomy of the patient associated with the transformed second image dataset.

19. A non-transitory computer program product storing a computer program, directly loadable into a memory, including program sections for carrying out a method for providing a patient model of a patient when the program sections are executed by at least one processor, the method comprising:

receiving a first patient model of the patient via an interface, the first patient model being a multi-parametric patient model and the first patient model including a first image dataset of the patient, the first image dataset being coordinated relative to a patient coordinate system;

receiving a second image dataset of the patient via the interface, the second image dataset being based on a medical imaging apparatus and being coordinated relative to a device coordinate system, the device coordinate system being a coordinate system relative to the medical imaging apparatus;

determining, via the at least one processor, a transformation function to transform the device coordinate system into the patient coordinate system;

determining, via the at least one processor, a transformed second image dataset based on the second image dataset and the transformation function;

determining, via the at least one processor, a modified first image dataset by adapting the first image dataset to an anatomy of the patient associated with the transformed second image dataset; and

providing, via the interface, a second patient model of the patient, the second patient model being a multi-parametric patient model, and the second patient model including the modified first image dataset and the transformed second image dataset.

20. The non-transitory computer program product of claim 19 , wherein the transformation function is based on a comparison of the first image dataset to the second image dataset.

21. A non-transitory computer-readable storage medium storing program sections readable and executable by at least one processor, to carry out a method for providing a patient model of a patient when the program sections are executed by the at least one processor, the method comprising:

receiving a first patient model of the patient via an interface, the first patient model being a multi-parametric patient model and the first patient model including a first image dataset of the patient, the first image dataset being coordinated relative to a patient coordinate system;

receiving a second image dataset of the patient via the interface, the second image dataset being based on a medical imaging apparatus and being coordinated relative to a device coordinate system, the device coordinate system being a coordinate system relative to the medical imaging apparatus;

determining, via the at least one processor, a transformation function to transform the device coordinate system into the patient coordinate system;

determining, via the at least one processor, a transformed second image dataset based on the second image dataset and the transformation function;

determining, via the at least one processor, a modified first image dataset by adapting the first image dataset to an anatomy of the patient associated with the transformed second image dataset; and

providing, via the interface, a second patient model of the patient, the second patient model being a multi-parametric patient model, and the second patient model including the modified first image dataset and the transformed second image dataset.

22. The non-transitory computer-readable storage medium of claim 21 , wherein the transformation function is based on a comparison of the first image dataset to the second image dataset.