Systems and methods for validating and correcting automated medical image annotations

1. A computer-implemented method of manipulating medical image annotations, the method comprising:

receiving at least one image of an individual's anatomy;

automatically determining, via a processor, a plurality of annotations associated with anatomical features identified in the at least one image of the individual's anatomy;

determining a dependency or hierarchy between at least a first annotation of a first anatomical feature and a second annotation of a second anatomical feature of the plurality of annotations associated with anatomical features identified in the at least one image of the individual's anatomy, wherein the dependency or hierarchy defines that the second annotation of the second anatomical feature is based on a prior identification of, or modification to, the first annotation of the first anatomical feature;

determining, via the processor, a red flag task, based on the determined dependency or hierarchy, associated with the at least one image of the individual's anatomy, the red flag task indicating a need for validation by a user of a user interface element; and

automatically presenting, in a multi-planar reconstructed view, the plurality of annotations to the user via the user interface element in an order based on the determined dependency or hierarchy between at least the first annotation of the first anatomical feature and the second annotation of the second anatomical feature of the plurality of annotations, wherein the first annotation of the first anatomical feature is presented to the user before the second annotation of the second anatomical feature is presented to the user, as a result of the determination of the dependency or hierarchy that defines that the second annotation of the second anatomical feature is based on the prior identification of, or modification to, the first annotation of the first anatomical feature.

2. The method of claim 1 , wherein the red flag task enables the user to assess the at least one image of the individual's anatomy.

3. The method of claim 1 , wherein the red flag task enables the user to determine an adequacy of the at least one image to be processed into a patient-specific 3D model.

4. The method of claim 3 , wherein the patient-specific 3D model illustrates a lumen or myocardium.

5. The method of claim 1 , wherein the red flag task enables the user to identify one or more anatomical anomalies in the at least one image.

6. The method of claim 1 , further comprising obtaining, via the processor, one or more user interactions with the at least one image.

7. The method of claim 6 , further comprising generating, via the processor, a model of the individual's anatomy based on the one or more user interactions with the at least one image.

8. The method of claim 1 , further comprising creating one or more visualizations for each of the plurality of annotations associated with anatomical features identified in the at least one image of the individual's anatomy.

9. The method of claim 8 , wherein the one or more visualizations enables the user to view and validate the plurality of annotations.

10. The method of claim 1 , further comprising receiving an input from a user related to the first annotation of the first anatomical feature before presenting the second annotation of the second anatomical feature to the user.

11. The method of claim 1 , further comprising determining that at least one of the plurality of annotations is a critical annotation and representing the critical annotation to the user for a second time after presenting the critical annotation to the user for a first time.

12. A system for manipulating medical image annotations, the system comprising:

at least one data storage device storing instructions for manipulating medical image annotations; and

at least one processor configured to execute the instructions to perform a method including:

receiving at least one image of an individual's anatomy;

automatically determining, via a processor, a plurality of annotations associated with anatomical features identified in the at least one image of the individual's anatomy;

determining a dependency or hierarchy between at least a first annotation of a first anatomical feature and a second annotation of a second anatomical feature of the plurality of annotations associated with anatomical features identified in the at least one image of the individual's anatomy, wherein the dependency or hierarchy defines that the second annotation of the second anatomical feature is based on a prior identification of, or modification to, the first annotation of the first anatomical feature;

determining, via the processor, a red flag task, based on the determined dependency or hierarchy, associated with the at least one image of the individual's anatomy, the red flag task indicating a need for validation by a user of a user interface element; and

automatically presenting, in a multi-planar reconstructed view, the plurality of annotations to the user via the user interface element in an order based on the determined dependency or hierarchy between at least the first annotation of the first anatomical feature and the second annotation of the second anatomical feature of the plurality of annotations, wherein the first annotation of the first anatomical feature is presented to the user before the second annotation of the second anatomical feature is presented to the user, as a result of the determination of the dependency or hierarchy that defines that the second annotation of the second anatomical feature is based on the prior identification of, or modification to, the first annotation of the first anatomical feature.

13. The system of claim 12 , wherein the red flag task enables the user to assess the at least one image of the individual's anatomy.

14. The system of claim 12 , wherein the red flag task enables the user to determine an adequacy of the at least one image to be processed into a patient-specific 3D model.

15. The system of claim 12 , wherein the red flag task enables the user to identify one or more anatomical anomalies in the at least one image.

16. A non-transitory computer readable medium for use on a computer system containing computer-executable programming instructions for performing a method of manipulating medical image annotations, the method comprising:

receiving at least one image of an individual's anatomy;

automatically determining, via a processor, plurality of annotations associated with anatomical features identified in the at least one image of the individual's anatomy;

determining a dependency or hierarchy between at least a first annotation of a first anatomical feature and a second annotation of a second anatomical feature of the plurality of annotations associated with anatomical features identified in the at least one image of the individual's anatomy, wherein the dependency or hierarchy defines that the second annotation of the second anatomical feature is based on a prior identification of, or modification to, the first annotation of the first anatomical feature;

determining, via the processor, a red flag task, based on the determined dependency or hierarchy, associated with the at least one image of the individual's anatomy, the red flag task indicating a need for validation by a user of a user interface element; and

automatically presenting, in a multi-planar reconstructed view, the plurality of annotations to the user via the user interface element in an order based on the determined dependency or hierarchy between at least the first annotation of the first anatomical feature and the second annotation of the second anatomical feature of the plurality of annotations, wherein the first annotation of the first anatomical feature is presented to the user before the second annotation of the second anatomical feature is presented to the user, as a result of the determination of the dependency or hierarchy that defines that the second annotation of the second anatomical feature is based on the prior identification of, or modification to, the first annotation of the first anatomical feature.

17. The non-transitory computer readable medium of claim 16 , wherein the red flag task enables the user to assess the at least one image of the individual's anatomy.

18. The non-transitory computer readable medium of claim 16 , wherein the red flag task enables the user to determine an adequacy of the at least one image to be processed into a patient-specific 3D model.

19. The non-transitory computer readable medium of claim 16 , wherein the red flag task enables the user to identify one or more anatomical anomalies in the at least one image.

20. A computer-implemented method of manipulating medical image annotations, the method comprising:

receiving at least one image of an individual's anatomy;

automatically determining, via a processor, a plurality of annotations associated with anatomical features identified in the at least one image of the individual's anatomy;

determining a dependency or hierarchy between at least a first annotation of a first anatomical feature and a second annotation of a second anatomical feature of the plurality of annotations associated with anatomical features identified in the at least one image of the individual's anatomy, wherein the dependency or hierarchy defines that the second annotation of the second anatomical feature is based on a prior identification of, or modification to, the first annotation of the first anatomical feature;

determining, via the processor, a red flag task, based on the determined dependency or hierarchy, associated with the at least one image of the individual's anatomy, the red flag task indicating a need for validation by a user of a user interface element;

determining that at least one of the plurality of annotations is a critical annotation and representing the critical annotation to the user for a second time after presenting the critical annotation to the user for a first time; and

automatically presenting, in a multi-planar reconstructed view, the plurality of annotations to the user via the user interface element in an order based on the determined dependency or hierarchy between at least the first annotation of the first anatomical feature and the second annotation of the second anatomical feature of the plurality of annotations.

21. A system for manipulating medical image annotations, the system comprising:

at least one data storage device storing instructions for manipulating medical image annotations; and

at least one processor configured to execute the instructions to perform a method including:

receiving at least one image of an individual's anatomy;

automatically determining, via a processor, a plurality of annotations associated with anatomical features identified in the at least one image of the individual's anatomy;

determining a dependency or hierarchy between at least a first annotation of a first anatomical feature and a second annotation of a second anatomical feature of the plurality of annotations associated with anatomical features identified in the at least one image of the individual's anatomy, wherein the dependency or hierarchy defines that the second annotation of the second anatomical feature is based on a prior identification of, or modification to, the first annotation of the first anatomical feature;

determining, via the processor, a red flag task, based on the determined dependency or hierarchy, associated with the at least one image of the individual's anatomy, the red flag task indicating a need for validation by a user of a user interface element;

determining that at least one of the plurality of annotations is a critical annotation and representing the critical annotation to the user for a second time after presenting the critical annotation to the user for a first time; and

automatically presenting, in a multi-planar reconstructed view, the plurality of annotations to the user via the user interface element in an order based on the determined dependency or hierarchy between at least the first annotation of the first anatomical feature and the second annotation of the second anatomical feature of the plurality of annotations.