System and method for disease diagnosis from patient structural deviation data

1. A system to facilitate diagnosis of a patient, comprising:

a memory device having a plurality of routines stored therein;

a processor configured to execute the plurality of routines stored in the memory device, the plurality of routines comprising:

a routine configured to, when executed, access a patient deviation image generated through comparison of an anatomical feature of the patient and a standardized anatomical feature and indicative of at least one difference between the anatomical feature of the patient and the standardized anatomical feature, the at least one difference including a structural difference;

a routine configured to, when executed, compare the patient deviation image to a plurality of reference deviation images, wherein the plurality of reference deviation images includes reference deviation images representative of a plurality of different severity levels of a disease type;

a routine configured to, when executed, diagnose the patient as having a particular severity level of the disease type based at least in part on the comparison of the patient deviation image to the plurality of reference deviation images; and

a routine configured to, when executed, at least one of store the diagnosis in the memory device or an additional memory device, or output the diagnosis to a user.

2. The system of claim 1 , wherein the plurality of reference deviation images includes reference deviation images representative of a plurality of disease types.

3. The system of claim 2 , wherein the plurality of reference deviation images includes reference deviation images indicative of a plurality of different severity levels of the plurality of disease types.

4. The system of claim 1 , wherein the standardized anatomical feature is selected from a group of standardized anatomical features based at least in part on a demographic characteristic of the patient.

5. The system of claim 1 , wherein the patient deviation image includes a visual representation generated from image data and non-image data.

6. A method implemented via a data processing system including a computer, the method comprising:

the computer accessing a patient deviation image generated through comparison of a patient anatomical feature and a standardized anatomical feature and indicative of a structural difference between the patient anatomical feature and the standardized anatomical feature;

the computer comparing the patient deviation image to a plurality of reference deviation images representative of a plurality of disease types, wherein each reference deviation image is representative of an expected deviation from the standardized anatomical feature for a particular disease type; and

the computer automatically identifying a potential patient disease type based at least in part on the comparison.

7. The method of claim 6 , wherein the standardized anatomical feature is standardized on the basis of a demographic characteristic.

8. The method of claim 7 , wherein the demographic characteristic includes at least one of age, race, or gender.

9. The method of claim 7 , wherein the plurality of reference deviation images include a reference deviation image that is standardized based on the demographic characteristic.

10. The method of claim 7 , wherein the standardized anatomical feature represents an anatomical feature of a normal subject that does not exhibit any of the plurality of disease types.

11. The method of claim 6 , further comprising the computer accessing patient deviation data indicative of a functional difference between the patient anatomical feature and the standardized anatomical feature.

12. The method of claim 6 , wherein the patient deviation image includes a visual representation generated from image data and non-image data.

13. The method of claim 6 , wherein the patient anatomical feature includes the cerebral cortex of the patient.

14. The method of claim 6 , wherein the plurality of reference deviation images include reference deviation images representative of a plurality of severity levels of at least one disease type.

15. The method of claim 14 , comprising the computer automatically identifying a potential patient disease type severity level based at least in part on the comparison.

16. A method implemented via a data processing system including a computer, the method comprising:

the computer a patient deviation image generated through comparison of a patient anatomical feature and a standardized anatomical feature and indicative of at least one difference between the patient anatomical feature and the standardized anatomical feature, wherein the at least one difference includes a structural difference;

the computer comparing the patient deviation image to a plurality of reference deviation images representative of a plurality of severity levels of a disease type, wherein each reference deviation set image is representative of an expected deviation from the standardized anatomical feature for a particular severity level of the disease type; and

the computer automatically identifying a potential patient disease type severity level based at least in part on the comparison.

17. The method of claim 16 , wherein the at least one difference includes a functional difference.

18. The method of claim 16 , comprising generating a disease severity score based at least in part on the identification of the potential patient disease type severity level.

19. The method of claim 16 , comprising comparing the patient deviation data image to an additional plurality of reference deviation images representative of an additional disease type.

20. The method of claim 19 , wherein the additional plurality of reference deviation images include reference deviation images representative of a plurality of severity levels of the additional disease type.

21. The method of claim 20 , comprising the computer automatically identifying a potential severity level of the additional disease type for the patient.

22. The method of claim 21 , comprising generating a combined disease severity score based at least in part on the identification of the potential patient disease type severity level and the identification of the potential severity level of the additional disease type for the patient.

23. The method of claim 21 , wherein the patient exhibits a clinical condition in which both the disease type and the additional disease type are contributing causes, and wherein the method further comprises determining the relative impact of each of the disease type and the additional disease type on the clinical condition based at least in part on the identification of the potential patient disease type severity level and the identification of the potential severity level of the additional disease type for the patient.

24. A manufacture comprising:

a computer-readable medium having executable instructions stored thereon, the executable instructions comprising:

instructions adapted to access a patient deviation image generated through comparison of a patient anatomical feature and a standardized anatomical feature and indicative of a structural difference between the patient anatomical feature and the standardized anatomical feature;

instructions adapted to compare the patient deviation data image to a plurality of reference deviation images representative of a plurality of disease types, wherein each reference deviation image is representative of an expected deviation from the standardized anatomical feature for a particular disease type; and

instructions adapted to automatically identify a potential patient disease type based at least in part on the comparison.

25. The manufacture of claim 24 , wherein the computer-readable medium comprises a plurality of computer-readable media at least collectively having the executable instructions stored thereon.