Systems and Methods for Simulation of Organ Dynamics

• US 20070231779A1
• Filed: 02/14/2007
• Published: 10/04/2007
• Est. Priority Date: 02/15/2006
• Status: Abandoned Application

• Current Assignee: University of Central Florida Research Foundation Inc. (State University System of Florida)
• Original Assignee: University of Central Florida Research Foundation Inc. (State University System of Florida)
• Inventors: Rolland, Jannick, Santhanam, Anand, Fidopiastis, Cali
• Application Number:
  US11/674,876
• Publication Number:
  US 20070231779A1
• Time in Patent Office: Days
• US Class Current: 434/262
• CPC Class Codes: G09B 23/28 for medicine

Abstract

In one embodiment, a method for simulating organ dynamics includes generating a sequence of three-dimensional models of an organ during different stages of observed dynamic motion, generating a deformation transfer function from the sequence of three-dimensional models, generating a pressure-volume curve from the sequence of three-dimensional models, and generating an organ deformation model that simulates dynamic motion of the organ.

Claims

1. A method for simulating organ dynamics, the method comprising:

generating a sequence of three-dimensional models of an organ during different stages of observed dynamic motion;

generating a deformation transfer function from the sequence of three-dimensional models;

generating a pressure-volume curve from the sequence of three-dimensional models; and

generating an organ deformation model that simulates dynamic motion of the organ.

2. The method of claim 1, wherein generating a sequence of three-dimensional models comprises generating a sequence of three-dimensional models of a lung during inhalation or exhalation.

3. The method of claim 1, wherein generating a sequence of three-dimension models comprises capturing two-dimensional cross-sectional images of the organ that are combined to form the three-dimensional models.

4. The method of claim 1, wherein generating a sequence of three-dimension models comprises generating a polygonal model of the organ that includes a plurality of surface nodes that are interconnected with links.

5. The method of claim 4, wherein generating a deformation transfer function comprises approximating displacement of the surface nodes of the three-dimensional models during the observed dynamic motion.

6. The method of claim 5, wherein generating a deformation transfer function further comprises determining geodesic distances between nodes of an initial state model, the initial state model being the three-dimensional model associated with an the initial state of the observed dynamic motion.

7. The method of claim 6, wherein generating a deformation transfer function further comprises estimating an applied force at each node of the initial state model using lung physiology data.

8. The method of claim 7, wherein generating a deformation transfer function further comprises estimating an alveolar expandability value for each node of the initial state model.

9. The method of claim 8, wherein generating a deformation transfer function further comprises normalizing the alveolar expandability values.

10. The method of claim 9, wherein generating a deformation transfer function further comprises generating an initial deformation transfer function for the initial state model from the three-dimensional models, the approximated displacement, the estimated applied forces, and the estimated alveolar expandability values.

11. The method of claim 10, wherein generating a deformation transfer function further comprises generating a final deformation transfer function from the initial deformation transfer function.

12. The method of claim 11, further comprising performing spherical parameterization for the initial state model.

13. The method of claim 1, wherein generating a pressure-volume curve comprises receiving observed organ pressure-volume data and parameterizing the data using a second order differential relation.

14. The method of claim 13, wherein generating a pressure-volume curve further comprises computing a damping function that reflects motor control over the organ during motion.

15. The method of claim 14, wherein generating a pressure-volume curve further comprises solving simultaneous equations using Kramer'"'"'s rule to obtain the pressure volume curve.

16. The method of claim 1, wherein generating an organ deformation model comprises rendering the model as a visual indication of deformation of the organ during motion.

18. The system of claim 1, wherein the means for generating a deformation transfer function comprise means for approximating displacement of surface nodes of the three-dimensional models during the observed motion.

19. The system of claim 18, wherein the means for generating a deformation transfer function further comprise means for determining geodesic distances between nodes of an initial state model, the initial state model being the three-dimensional model associated with an the initial state of the observed dynamic motion.

20. The system of claim 19, wherein the means for generating a deformation transfer function further comprise means for estimating an applied force at each node of the initial state model using lung physiology data.

21. The system of claim 20, wherein the means for generating a deformation transfer function further comprise means for estimating an alveolar expandability value for each node of the initial state model.

22. The system of claim 9, wherein the means for generating a deformation transfer function further comprise means for generating an initial deformation transfer function for the initial state model from the three-dimensional models, the approximated displacement, the estimated applied forces, and the estimated alveolar expandability values.

17. A system for simulating organ dynamics, the system comprising:

means for generating a deformation transfer function from a sequence of three-dimensional models reflective of various stages of observed motion;

means for generating a pressure-volume curve from the sequence of three-dimensional models; and

means for generating an organ deformation model that simulates dynamic motion of the organ.

23. The system of claim 17, wherein the means for generating a pressure-volume curve comprise means for receiving observed organ pressure-volume data and parameterizing the data using a second order differential relation.

24. The system of claim 23, wherein the means for generating a pressure-volume curve further comprise means for computing a damping function that reflects motor control over the organ during motion.

25. The system of claim 17, wherein the means for generating an organ deformation model comprise means for rendering the model as a visual indication of deformation of the organ during motion.

32. The computer-readable medium of claim 23, wherein the logic configured to generate a pressure-volume curve comprises logic configured to receive observed organ pressure-volume data and parameterizing the data using a second order differential relation.

33. The computer-readable medium of claim 23, wherein the logic configured to generate a pressure-volume curve further comprises logic configured to compute a damping function that reflects motor control over the organ during motion.

26. A computer-readable medium that stores a dynamic motion simulation system, the system comprising:

logic configured to generate a deformation transfer function from the sequence of three-dimensional models;

logic configured to generate a pressure-volume curve from the sequence of three-dimensional models; and

logic configured to generate an organ deformation model that simulates dynamic motion of the organ.

27. The computer-readable medium of claim 26, wherein the logic configured to generate a deformation transfer function comprises logic configured to approximate displacement of surface nodes of the three-dimensional models during the observed motion.

28. The computer-readable medium of claim 27, wherein the logic configured to generate a deformation transfer function further comprises logic configured to determine geodesic distances between nodes of an initial state model, the initial state model being the three-dimensional model associated with an the initial state of the observed dynamic motion.

29. The computer-readable medium of claim 28, wherein the logic configured to generate a deformation transfer function further comprises logic configured to estimate an applied force at each node of the initial state model using lung physiology data.

30. The computer-readable medium of claim 29, wherein the logic configured to generate a deformation transfer function further comprises logic configured to estimate an alveolar expandability value for each node of the initial state model.

31. The computer-readable medium of claim 30, wherein the logic configured to generate a deformation transfer function further comprises logic configured to generate an initial deformation transfer function for the initial state model from the three-dimensional models, the approximated displacement, the estimated applied forces, and the estimated alveolar expandability values.

34. The computer-readable medium of claim 26, wherein the logic configured to generate an organ deformation model comprises logic configured to render the model as a visual indication of deformation of the organ during motion.