Systems and methods for spinal correction surgical planning

1. A method for surgical planning and assessment of spinal deformity correction in a subject, the method comprising:

obtaining a set of anatomical positions of a subject, the set of anatomical positions including anatomical positions of at least two vertebrae of the subject;

determining a model of the subject based on the set of anatomical positions, wherein the model defines a pelvic tilt value, a pelvic incidence value, a sagittal vertical axis value, and a lumbar lordosis value;

receiving one or more simulated spinal correction inputs corresponding to a surgical procedure;

predicting a simulated postoperative surgical correction based on the received one or more simulated spinal correction inputs and the model;

determining a surgical plan based on the predicted simulated postoperative surgical correction; and

providing the determined surgical plan via a display.

2. The method of claim 1 , wherein the model is a musculoskeletal model.

3. The method of claim 1 , wherein determining the model comprises using inverse-inverse dynamics modeling.

4. The method of claim 1 , further comprising:

generating a sagittal curvature profile based on the anatomical positions of at least two vertebrae of the subject; and

modifying the model to match the sagittal curvature profile, including:

scaling, adjusting, or positioning portions of the model corresponding to the at least two vertebrae of the subject.

5. The method of claim 1 , wherein the prediction of the simulated postoperative surgical correction comprises a prediction of simulated anterior lumbar interbody fusion surgery.

6. The method of claim 1 , wherein obtaining the set of anatomical positions includes applying image recognition software to an anatomical image of the subject in a standing lateral position.

7. The method of claim 1 , wherein predicting the simulated postoperative surgical correction is based on one or more values associated with knee flexion, ankle flexion, pelvic retroversion, or spinal compensation.

8. The method of claim 1 , wherein the one or more simulated spinal correction inputs includes at least one of sagittal alignment and muscle recruitment criteria.

9. The method of claim 1 , wherein the simulated postoperative surgical correction includes at least one of hip compensation, knee joint compensation, and ankle joint compensation.

10. The method of claim 1 , further comprising:

outputting a value, based on the predicted simulated postoperative surgical correction, corresponding to a variance from an optimal posture.

11. The method of claim 1 , wherein the simulated postoperative surgical correction is a simulated implant in the subject.

12. The method of claim 1 , further comprising:

providing a classification of the surgical plan as representing an overcorrection or an undercorrection.

13. The method of claim 1 , further comprising:

receiving a modification of the surgical plan;

modifying the surgical plan based on the modification to form a modified surgical plan; and

providing the modified surgical plan via the display.

14. The method of claim 1 , further comprising:

providing a classification of the surgical plan as representing an overcorrection or an undercorrection.

15. A method comprising:

determining a model of a subject based on a position of two or more vertebral bodies of the subject in a standing lateral position, wherein the model includes spinopelvic parameters, ligament parameters, and joint kinematics;

calculating an optimized posture for the subject based on morphing and scaling the determined model of the subject;

predicting a simulated postoperative surgical correction that maintains a horizontal gaze based on the calculated optimized posture for the subject; and

determining a surgical plan based on the predicted simulated postoperative surgical correction and communicating the determined surgical plan via a display.

16. The method of claim 15 , wherein the model is a musculoskeletal model.

17. The method of claim 15 , wherein determining the model comprises using inverse-inverse dynamics modeling.

18. The method of claim 15 , further comprising:

obtaining an image of the subject that is an X-ray image, a computed tomography image, a magnetic resonance imaging image, or a biplanar X-ray image; and

obtaining a set of anatomical positions of the subject, the set of anatomical positions including the position of the two or more vertebral bodies, wherein the obtaining includes:

applying image recognition software to the image of the subject.

19. A method comprising:

determining a model of a subject based on at least one position of one or more vertebral bodies of the subject, wherein the model defines a pelvic tilt value, a pelvic incidence value, a sagittal vertical axis value, and a lumbar lordosis value;

receiving one or more simulated spinal correction inputs corresponding to a surgical procedure;

predicting a simulated postoperative surgical correction that maintains a center of mass over the subject's ankles based on the received one or more simulated spinal correction inputs;

determining a surgical plan based on the predicted simulated postoperative surgical correction;

communicating the determined surgical plan via a display; and

communicating the predicted simulated postoperative spinal correction via the display.

20. The method of claim 19 , further comprising:

generating a sagittal curvature profile based on the at least one position; and

modifying the model to match the sagittal curvature profile, wherein modifying of the model comprises at least one of scaling, adjusting, and positioning of the one or more vertebral bodies.