Technique for processing patient-specific image data for computer-assisted surgical navigation

1. A method for identifying a data set associated with a patient for use in computer assisted surgical navigation, the method comprising:

providing a database comprising multiple first data sets of image data obtained by a medical imaging method, wherein each first data set is representative of first geometric data of a skin surface of at least one patient;

obtaining, by an optical camera system, a second data set of image data of a skin surface of a particular patient;

deriving second geometric data of the skin surface of the particular patient from the second data set;

comparing the second geometric data with the first geometric data of one or more of the first data sets to calculate a similarity score for each comparison; and

based on the similarity score, generating a signal that triggers one of selection and de-selection of one of the first data sets for computer assisted surgical navigation,

wherein the image data are three-dimensional image data,

wherein the first and second geometric data are first and second three-dimensional shape data, respectively, and

wherein the first and second three-dimensional shape data are compared by a shape matching algorithm.

2. The method of claim 1 , wherein the optical camera system is configured for tracking a patient or surgical object during computer assisted surgical navigation.

3. The method of claim 1 , wherein:

the second geometric data is compared with the first geometric data of a particular first data set that has initially been pre-selected for computer assisted surgical navigation; and

generating the signal comprises evaluating if the similarity score calculated for the pre-selected first data set satisfies a pre-defined condition, wherein, depending on a result of the evaluation, the signal triggers either selection or de-selection of the pre-selected first data set.

4. The method of claim 3 , wherein the signal is one of a warning signal to a user to trigger de-selection of the pre-selected first data set and a confirmation signal to a user to trigger selection of the pre-selected first data set.

5. The method of claim 1 , wherein the signal is at least one of an acoustic signal and an optic signal.

6. The method of claim 1 , wherein:

the second geometric data is compared with the first geometric data of the multiple first data sets to calculate multiple similarity scores; and

the signal triggers selection of that one of the multiple first data sets which, based on the multiple similarity scores, is representative of the first geometric data that have the highest similarity with the second geometric data.

7. The method of claim 1 , wherein the medical imaging method comprises one of computer tomography and magnetic resonance imaging.

8. The method of claim 1 , wherein the multiple first data sets in the database have been acquired pre-operatively and/or the second data set is obtained in an operating room.

9. The method of claim 1 , further comprising providing navigation instructions on the basis of the selected one of the first data sets.

10. A computer program product comprising non-transitory computer-readable medium comprising program code portions for performing the method of claim 1 when the computer program product is executed on one or more processors.

11. A surgical navigation system configured to identify a data set associated with a patient, the system comprising:

an interface configured to access a database comprising multiple sets of first image data obtained by a medical imaging method, wherein each image data set is representative of first geometric data of a skin surface of at least one patient;

an optical camera system configured to obtain a second data set of image data of a skin surface of a particular patient; and

a processing unit configured to derive second geometric data of the skin surface of the particular patient from the second data set, to compare the second geometric data with the first geometric data of one or more of the first data sets to calculate a similarity score for each comparison, and, based on the similarity score, to generate a signal that triggers one of selection and de-selection of one of the first data sets for computer assisted surgical navigation,

wherein the image data are three-dimensional image data;

wherein the first and second geometric data are first and second three-dimensional shape data, respectively, and

wherein the processing unit is configured to compare the first and second three-dimensional shape data by a shape matching algorithm.

12. The system of claim 11 , wherein the optical camera system comprises at least one of a stereo camera and an infrared 3D sensor.

13. The system of claim 11 , further comprising a display unit configured to at least one of output the signal and provide navigation instructions on the basis of the selected one of the first data sets.

14. The system of claim 11 , wherein the processing unit is further configured to compare the second geometric data with the first geometric data of a particular first data set that has initially been pre-selected for computer assisted surgical navigation, and evaluate if the similarity score calculated for the pre-selected first data set satisfies a pre-defined condition, wherein, depending on a result of the evaluation, the signal is configured to trigger either selection or de-selection of the pre-selected first data set.

15. The system of claim 11 , wherein the processing unit is further configured to compare the second geometric data with the first geometric data of the multiple first data sets to calculate multiple similarity scores, and trigger selection of that one of the multiple first data sets which, based on the multiple similarity scores, is representative of the first geometric data that have the highest similarity with the second geometric data.