Systems and methods for automatically determining myocardial bridging and patient impact

1. A computer-implemented method for reporting the presence of myocardial bridging in a patient, the method comprising:

receiving patient-specific image data of the patient's heart;

receiving or generating a patient-specific model using the received patient-specific data, the patient-specific model representing at least a portion of the patient's myocardium and the patient's epicardial coronary artery;

determining, in the patient-specific model, a distance from a surface of the modeled myocardium to a segment of the modeled epicardial coronary artery;

detecting, using the determined distance, a portion of the determined segment of the epicardial coronary artery that is inside, at least partially surrounded by, or adjacent to the determined surface of the modeled myocardium;

identifying or labeling the detected portion of the determined segment of the epicardial coronary artery as a location of myocardial bridging;

computing, using at least one computer processor, at least one physical anatomical feature of the myocardial bridging from the detected portion of the determined segment of the epicardial coronary artery; and

determining a severity score of the myocardial bridging using the physical anatomical feature of the myocardial bridging computed from the patient-specific model.

2. The method of claim 1 , further comprising storing the identified or labeled myocardial bridging and the at least one physical anatomical feature of the myocardial bridging.

3. The method of claim 1 , wherein the patient-specific model is based on patient-specific anatomical image data of a geometry of the patient's heart, including geometry of the patient's ascending aorta, coronary artery tree, and myocardium.

4. The method of claim 1 , wherein computing the at least one physical anatomical feature of the myocardial bridging comprises at least one of computing a signed distance map of a myocardial surface, computing a signed distance map of one or more epicardial coronary arteries, determining one or more segments of one or more epicardial coronary arteries inside the myocardium, and determining at least one myocardial bridging severity metric.

5. The method of claim 4 , wherein the at least one myocardial bridging severity metric is chosen from location of the myocardial bridging segment, length of the myocardial bridging segment, depth of the myocardial bridging segment, eccentricity of a cross-section of the myocardial bridging segment, and degree of systolic compression.

6. The method of claim 5 , wherein the location of the myocardial bridging segment is based on start or end distance to the ostium.

7. The method of claim 5 , wherein the eccentricity of a cross-section of the myocardial bridging segment is measured by short axis length over long axis length.

8. The method of claim 1 , wherein the patient-specific model is chosen from a lumped-parameter model, a one-dimensional model, or a three-dimensional model.

9. The method of claim 1 , further comprising determining at least one blood flow characteristic of the myocardial bridging segment during systole and/or diastole using the patient-specific model.

10. A system for reporting the presence of myocardial bridging in a patient, the system comprising:

a data storage device storing instructions for reporting the presence of myocardial bridging in a patient; and

a processor configured to execute the instructions to perform a method including:

receiving patient-specific image data of the patient's heart;

receiving or generating a patient-specific model using the received patient-specific data, the patient-specific model representing at least a portion of the patient's myocardium and the patient's epicardial coronary artery;

determining, in the patient-specific model, a distance from a surface of the modeled myocardium and a segment of the modeled epicardial coronary artery;

detecting, using the determined distance, a portion of the determined segment of the epicardial coronary artery that is inside, at least partially surrounded by, or adjacent to, the determined surface of the modeled myocardium;

identifying or labeling the detected portion of the determined segment of the epicardial coronary artery as a location of myocardial bridging;

computing, using at least one computer processor, at least one physical anatomical feature of the myocardial bridging from the detected portion of the determined segment of the epicardial coronary artery; and

determining a severity score of the myocardial bridging using the physical anatomical feature of the myocardial bridging computed from the patient-specific model.

11. The system of claim 10 , wherein the patient-specific model is based on patient-specific anatomical image data of a geometry of the patient's heart, including geometry of the patient's ascending aorta, coronary artery tree, and myocardium.

12. The system of claim 10 , wherein computing the at least one physical anatomical feature of the myocardial bridging comprises at least one of computing a signed distance map of a myocardial surface, computing a signed distance map of one or more epicardial coronary arteries, determining one or more segments of one or more epicardial coronary arteries inside the myocardium, and determining at least one myocardial bridging severity metric.

13. The system of claim 12 , wherein the at least one myocardial bridging severity metric is chosen from location of the myocardial bridging segment, length of the myocardial bridging segment, depth of the myocardial bridging segment, eccentricity of a cross-section of the myocardial bridging segment, and degree of systolic compression.

14. The system of claim 13 , wherein the location of the myocardial bridging segment is based on start or end distance to the ostium.

15. The system of claim 13 , wherein the eccentricity of a cross-section of the myocardial bridging segment is measured by short axis length over long axis length.

16. The system of claim 10 , wherein the patient-specific model is chosen from a lumped-parameter model, a one-dimensional model, or a three-dimensional model.

17. The system of claim 10 , wherein the method further comprises determining at least one blood flow characteristic of the myocardial bridging segment during systole and/or diastole using the patient-specific model.

18. A non-transitory computer readable medium for use on at least one computer system containing computer-executable programming instructions for performing a method for reporting the presence of myocardial bridging in a patient, the method comprising:

receiving patient-specific image data of the patient's heart;

receiving or generating a patient-specific model using the received patient-specific data, the patient-specific model representing at least a portion of the patient's myocardium and the patient's epicardial coronary artery;

determining, in the patient-specific model, a distance from a surface of the modeled myocardium to a segment of the modeled epicardial coronary artery;

detecting, using the determined distance, a portion of the determined segment of the epicardial coronary artery that is inside, at least partially surrounded by, or adjacent to, the determined surface of the modeled myocardium;

identifying or labeling the detected portion of the determined segment of the epicardial coronary artery as a location of myocardial bridging;

computing, using at least one computer processor, at least one physical anatomical feature of the myocardial bridging from the detected portion of the determined segment of the epicardial coronary artery; and

determining a severity score of the myocardial bridging using the physical anatomical feature of the myocardial bridging computed from the patient-specific model.

19. The non-transitory computer readable medium of claim 18 , wherein the patient-specific model is based on patient-specific anatomical image data of a geometry of the patient's heart, including geometry of the patient's ascending aorta, coronary artery tree, and myocardium.

20. The non-transitory computer readable medium of claim 18 , wherein computing the at least one physical anatomical feature of the myocardial bridging comprises at least one of computing a signed distance map of a myocardial surface, computing a signed distance map of one or more epicardial coronary arteries, determining one or more segments of one or more epicardial coronary arteries inside the myocardium, and determining at least one myocardial bridging severity metric.

21. The non-transitory computer readable medium of claim 20 , wherein the at least one myocardial bridging severity metric is chosen from location of the myocardial bridging segment, length of the myocardial bridging segment, depth of the myocardial bridging segment, eccentricity of a cross-section of the myocardial bridging segment, and degree of systolic compression.

22. The non-transitory computer readable medium of claim 21 , wherein the location of the myocardial bridging segment is based on start or end distance to the ostium.

23. The non-transitory computer readable medium of claim 21 , wherein the eccentricity of a cross-section of the myocardial bridging segment is measured by short axis length over long axis length.

24. The non-transitory computer readable medium of claim 18 , wherein the patient-specific model is chosen from a lumped-parameter model, a one-dimensional model, or a three-dimensional model.

25. The non-transitory computer readable medium of claim 18 , wherein the method further comprises determining at least one blood flow characteristic of the myocardial bridging segment during systole and/or diastole using the patient-specific model.