Electrical and activation field models for configuring stimulation therapy

• US 20070203546A1
• Filed: 10/31/2006
• Published: 08/30/2007
• Est. Priority Date: 02/24/2006
• Status: Active Grant

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Goetz, Steven M., Stone, Richard T., Otten, Lynn M., Wahlstrand, Carl D., Ball, Warren W.
• Granted Patent: US 7,822,483 B2
• Time in Patent Office: Days
• US Class Current: 607/59
• CPC Class Codes: A61N 1/0529 Electrodes for brain stimulation
• CPC Class Codes: A61N 1/0531 Brain cortex electrodes
• CPC Class Codes: A61N 1/0534 Electrodes for deep brain stimulation
• CPC Class Codes: A61N 1/0551 Spinal or peripheral nerve electrodes
• CPC Class Codes: A61N 1/36082 Cognitive or psychiatric applications, e.g. dementia or Alzheimer's disease
• CPC Class Codes: A61N 1/37247 User interfaces, e.g. input or presentation means

Abstract

The disclosure describes a method and system that generates an electrical field model of defined stimulation therapy and displays the electrical field model to a user via a user interface. The electrical field model is generated based upon a patient anatomy and stimulation parameters to illustrate which areas of a patient anatomical region will be covered by the electrical field during therapy. In addition, a neuron model may be applied to the electrical field model to generate an activation field model. The activation field model indicates which neurons will be activated by the electrical field in the anatomical region. These field models may be used by a clinician to determine effective therapy prior to stimulation delivery. In particular, the field models may be beneficial when programming non axi-symmetric, or three-dimensional (3D), leads which allow greater flexibility in creating stimulation fields.

Claims

1. A method comprising:

receiving a patient anatomy data set that describes at least one characteristic of patient tissue proximate to an electrical stimulation lead implanted within a patient;

receiving user input that defines stimulation parameter values;

generating a stimulation field model that represents where electrical stimulation will propagate from the electrical stimulation lead based upon the patient anatomy data set and stimulation parameter values; and

displaying the stimulation field model on a representation of an anatomical region of the patient.

2. The method of claim 1, further comprising:

receiving stimulation field input from a user that modifies at least one of the size, shape or location of the stimulation field model relative to the displayed anatomical location; and

determining at least one new stimulation parameter value based on the modification of the stimulation field model.

3. The method of claim 1, wherein generating the stimulation field model comprises applying the patient anatomy data set to a stimulation field equation set.

4. The method of claim 1, wherein displaying the stimulation field model comprises displaying the stimulation field model via one of a two-dimensional display or a three-dimensional environment.

5. The method of claim 1, wherein receiving stimulation field input comprises receiving input that drags at least one of the stimulation field model or a boundary of the stimulation field model relative to the displayed anatomical region.

6. The method of claim 1, wherein displaying the stimulation field model on a representation of an anatomical region comprises displaying the stimulation field model and anatomical region as plurality of different two-dimensional, cross-sectional views, and receiving stimulation field input comprises receiving stimulation field input that modifies a cross-section of the stimulation field model in one or more of the cross-sectional views.

7. The method of claim 6, wherein the views comprise at least one of a coronal view, a saggital view, an axial view, and an oblique view.

8. The method of claim 1, further comprising:

generating a neuron model that describes at least one characteristic of patient neural tissue proximate to the electrical stimulation lead implanted within the patient;

generating an activation field model indicates which neural structures of the patient are activated by applying the stimulation field model to the anatomical region of the patient based on the neuron model and the stimulation field model; and

displaying the activation field model over the anatomical region.

9. The method of claim 1, wherein the anatomical region comprises at least one of a spinal cord, a cerebrum, a cerebellum, a brain stem, skeletal muscle, and smooth muscle.

10. The method of claim 9, wherein the structure of the anatomical region is at least one of a substantia nigra, subthalamic nucleus, globus pallidus interna, ventral intermediate, and zona inserta.

11. A system comprising:

a communications module that receives a patient anatomy data set that describes at least one characteristic of patient tissue proximate to an electrical stimulation lead implanted within a patient;

a user interface that receives user input that defines stimulation parameter values; and

a processor that generates a stimulation field model that represents where electrical stimulation will propagate from the electrical stimulation lead based upon the patient anatomy data set and stimulation parameter values, and displays the stimulation field model on a representation of an anatomical region of the patient via the user interface.

12. The system of claim 11, wherein the processor receives stimulation field input via the user interface that modifies at least one of the size, shape or location of the stimulation field model relative to the displayed anatomical region, and determines at least one new stimulation parameter value based on the modification of the stimulation field model.

13. The system of claim 11, wherein the processor applies the patient anatomy data set to a stimulation field equation set to generate the stimulation field model.

14. The system of claim 13, wherein the user interface comprises one of a two-dimensional display or a three-dimensional environment to display the stimulation field model on the representation of the anatomical region.

15. The system of claim 14, wherein the processor receives input via the user interface that drags at least one of the stimulation field model or a boundary of the stimulation field model relative to the displayed anatomical location as stimulation field input.

16. The system of claim 15, wherein the user interface displays the three-dimensional stimulation field model and anatomical region as plurality of different two-dimensional, cross-sectional views, and the processor receives stimulation field input via the user interface that modifies a cross-section of the stimulation field model in one or more of the cross-sectional views.

17. The method of claim 14, wherein the views comprise at least one of a coronal view, a saggital view, an axial view, and an oblique view.

18. The system of claim 11, wherein the processor generates a neuron model that describes at least one characteristic of patient neural tissue proximate to the electrical stimulation lead implanted within the patient, generates an activation field model indicates which neural structures of the patient are activated by applying the stimulation field model to the anatomical region of the patient based on the neuron model and the stimulation field model, and displays the activation field model over the anatomical region.

19. The system of claim 18, further comprising a memory that stores a neuron model equation set, wherein the processor utilizes the patient anatomy data set to generate the neuron model with the neuron model equation set.

20. The system of claim 11, further comprising a programmer for programming an implantable medical device that includes the communications module, the user interface, and the processor.

21. A computer-readable medium comprising instructions that cause a processor to:

receive a patient anatomy data set that describes at least one characteristic of patient tissue proximate to an electrical stimulation lead implanted within a patient;

receive user input that defines stimulation parameter values;

generate a stimulation field model that represents where electrical stimulation will propagate from the electrical stimulation lead based upon the patient anatomy data set and stimulation parameter values; and

display the stimulation field model on a representation of an anatomical region of the patient.

22. The computer-readable medium of claim 21, further comprising instructions that cause a processor to:

receive stimulation field input from a user that modifies at least one of the size, shape or location of the stimulation field model relative to the displayed anatomical location; and

determine at least one new stimulation parameter value based on the modification of the stimulation field model.

23. The computer-readable medium of claim 21, wherein the instructions that cause a processor to receive stimulation field input comprise instructions that cause a processor to receive input that drags at least one of the stimulation field model or a boundary of the stimulation field model relative to the displayed anatomical region.

24. The computer-readable medium of claim 21, wherein the instructions that cause a processor to display the stimulation field model on a representation of an anatomical region comprise instructions that cause a processor to display the three-dimensional stimulation field model and anatomical region as plurality of different two-dimensional, cross-sectional views, and the instructions that cause a processor to receive stimulation field input comprise instructions that cause a processor to receive stimulation field input that modifies a cross-section of the stimulation field model in one or more of the cross-sectional views.

25. The computer-readable medium of claim 21, further comprising instructions that cause a processor to:

generate a neuron model that describes at least one characteristic of patient neural tissue proximate to the electrical stimulation lead implanted within the patient;

generate an activation field model indicates which neural structures of the patient are activated by applying the stimulation field model to the anatomical region of the patient based on the neuron model and the stimulation field model; and

display the activation field model over the anatomical region.

26. A method comprising:

receiving a patient anatomy data set that describes at least one characteristic of patient neural tissue proximate to an electrical stimulation lead implanted within a patient;

receiving user input that defines stimulation parameter values;

generating an activation field model that indicates which neural structures of the patient are activated based on the patient anatomy data set and stimulation parameter values; and

displaying the activation field model over the anatomical region.

27. The method of claim 26, further comprising:

receiving user input that modifies at least one of the size, shape or location of the activation field model relative to the displayed anatomical location; and

determining at least one new stimulation parameter value based on the modification of the stimulation field model.

28. The method of claim 26, wherein receiving user input that modifies at least one of the size, shape or location of the activation field model comprises receiving input that drags at least one of the activation field model or a boundary of the activation field model relative to the displayed anatomical region.

29. The method of claim 26, wherein displaying the activation field model on a representation of an anatomical region comprises displaying the activation field model and anatomical region as plurality of different two-dimensional, cross-sectional views, and receiving user input that modifies the activation field comprises receiving user input that modifies a cross-section of the activation field model in one or more of the cross-sectional views.

30. The method of claim 29, wherein the views comprise at least one of a coronal view, a saggital view, an axial view, and an oblique view.

31. A system comprising:

a communications module that receives a patient anatomy data set that describes at least one characteristic of patient neural tissue proximate to an electrical stimulation lead implanted within a patient;

a user interface that receives user input that defines stimulation parameter values; and

a processor that generates an activation field model that indicates which neural structures of the patient are activated based on the patient anatomy data set and stimulation parameter values, and displays the activation field model on a representation of an anatomical region of the patient via the user interface.

32. The system of claim 31, wherein the processor receives user input that modifies at least one of the size, shape or location of the activation field model relative to the displayed anatomical location, and determines at least one new stimulation parameter value based on the modification of the activation field model.

33. The system of claim 31, wherein the processor receives input that drags at least one of the activation field model or a boundary of the activation field model relative to the displayed anatomical region via the user interface.

34. The system of claim 31, wherein the user interface displays the activation field model and anatomical region as plurality of different two-dimensional, cross-sectional views, and the processor receives user input that modifies a cross-section of the activation field model in one or more of the cross-sectional views via the user interface.

35. The system of claim 34, wherein the views comprise at least one of a coronal view, a saggital view, an axial view, and an oblique view.

36. A computer-readable medium comprising instructions that cause a processor to:

receive a patient anatomy data set that describes at least one characteristic of patient neural tissue proximate to an electrical stimulation lead implanted within a patient;

receive user input that defines stimulation parameter values;

generating an activation field model indicates which neural structures of the patient are activated based on the patient anatomy data set and stimulation parameter values; and

display the activation field model over the anatomical region.

37. The computer-readable medium of claim 36, further comprising instructions that cause a processor to:

receive user input that modifies at least one of the size, shape or location of the activation field model relative to the displayed anatomical location; and

determine at least one new stimulation parameter value based on the modification of the stimulation field model.

38. The computer-readable medium of claim 36, wherein the instructions that cause a processor to receive user input that modifies at least one of the size, shape or location of the activation field model comprise instructions that cause a processor to receive input that drags at least one of the activation field model or a boundary of the activation field model relative to the displayed anatomical region.

39. The computer-readable medium of claim 36, wherein the instructions that cause a processor to display the activation field model on a representation of an anatomical region comprise instructions that cause a processor to display the activation field model and anatomical region as plurality of different two-dimensional, cross-sectional views, and the instructions that cause a processor to receive user input that modifies the activation field comprise instructions that cause a processor to receive user input that modifies a cross-section of the activation field model in one or more of the cross-sectional views.