Brain stimulation models, systems, devices, and methods

• US 20090208073A1
• Filed: 10/09/2008
• Published: 08/20/2009
• Est. Priority Date: 07/07/2004
• Status: Active Grant

• Current Assignee: Cleveland Clinic Foundation
• Original Assignee: Cleveland Clinic Foundation
• Inventors: Butson, Christopher R., McIntyre, Cameron C., Henderson, Jaimie M., Hall, John D.
• Granted Patent: US 8,379,952 B2
• Time in Patent Office: Days
• US Class Current: 382/128
• CPC Class Codes: A61B 2090/364 Correlation of different images or relation of image positions in respect to the body
• CPC Class Codes: A61B 5/24 Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
• CPC Class Codes: A61B 90/37 Surgical systems with images on a monitor during operation
• 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 1/0539 Anchoring of brain electrode systems, e.g. within burr hole
• CPC Class Codes: A61N 1/36082 Cognitive or psychiatric applications, e.g. dementia or Alzheimer's disease
• CPC Class Codes: A61N 1/36135 using physiological parameters
• CPC Class Codes: A61N 1/36146 specified by the stimulation parameters
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

This document discusses, among other things, brain stimulation models, systems, devices, and methods, such as for deep brain stimulation (DBS) or other electrical stimulation. In an example, volumetric imaging data representing an anatomical volume of a brain of a patient can be obtained and transformed to brain atlas data. A patient-specific brain atlas can be created using the inverse of the transformation to map the brain atlas data onto the volumetric imaging data and a volume of influence can be calculated using the patient-specific brain atlas. In certain examples, the volume of influence can include a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location.

Claims

1. A method comprising:

obtaining volumetric imaging data representing an anatomical volume of a brain of a patient;

transforming at least a portion of the volumetric imaging data to brain atlas data;

creating a patient-specific brain atlas using an inverse of the transformation to map the brain atlas data onto the volumetric imaging data; and

calculating a volume of influence using the patient-specific brain atlas, wherein the volume of influence includes a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location.

2. The method of claim 1, including displaying at least one of the volume of influence or the patient-specific brain atlas.

3. The method of claim 1, including displaying the patient-specific brain atlas together with at least one of:

the at least one candidate electrode target location;

the target volume of activation;

or

the volume of influence corresponding to the at least one candidate electrode target location.

4. The method of claim 1, wherein the transforming includes performing a nonlinear transformation.

5. The method of claim 1, wherein the transforming the volumetric imaging data to the brain atlas data includes:

performing first transformation having a first dimensional basis; and

performing a second transformation having a second higher dimensional basis than the first dimensional basis.

6. The method of claim 5, wherein the performing the second transformation includes using vector fields generated using a mismatch between the brain atlas data and the volumetric imaging data.

7. The method of claim 5, wherein the constraining the transformation to be in the low-dimensional basis includes constraining the transformation to be in a low-dimensional basis defined by a Green'"'"'s function of an elasticity operator placed in the anatomy and at least one eigenfunction of the elasticity operator.

8. The method of claim 7, wherein the elasticity operator includes an elasticity operator placed in a specified location of the anatomical volume.

9. The method of claim 5, wherein the using the mismatch between the brain atlas data and the volumetric imaging data includes using a solution of a Navier-Stokes fluid model.

10. The method of claim 9, wherein the using the mismatch between the brain atlas data and the volumetric imaging data includes constraining the mismatch to be a solution of a Navier-Stokes fluid model.

11. A system comprising:

a processor including an input configured to receive volumetric imaging data representing an anatomical volume of a brain of a patient, wherein the processor is configured to;

transform at least a portion of the volumetric imaging data to brain atlas data;

create a patient-specific brain atlas using an inverse of the transformation to map the brain atlas data onto the volumetric imaging data; and

calculate a volume of influence using the patient-specific brain atlas, wherein the volume of influence includes a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location.

12. The system of claim 11, including a display configured to display at least one of the volume of influence or the patient-specific brain atlas.

13. The system of claim 11, including a display configured to display the patient-specific brain atlas together with at least one of:

the at least one candidate electrode target location;

the target volume of activation;

or

the volume of influence corresponding to the at least one candidate electrode target location.

14. The system of claim 11, wherein the processor is configured to perform a nonlinear transformation to transform at least a portion of the volumetric imaging data to the brain atlas data.

15. The system of claim 11, wherein the processor is configured to transform the volumetric imaging data to the brain atlas data by:

performing a first transformation having a first dimensional basis; and

performing a second transformation having a second higher dimensional basis than the first dimensional basis.

16. The system of claim 15, wherein the processor is configured to perform the second transformation using vector fields generated using a mismatch between the brain atlas data and the volumetric imaging data.

17. The system of claim 15, wherein the processor is configured to constrain the transformation to be in a low-dimensional basis defined by a Green'"'"'s function of an elasticity operator placed in the anatomy and at least one eigenfunction of the elasticity operator.

18. The system of claim 17, wherein the elasticity operator includes an elasticity operator placed in a specified location of the anatomical volume.

19. The system of claim 15, wherein the processor is configured to solve a Navier-Stokes fluid model as the mismatch between the brain atlas data and the volumetric imaging data.

20. A method comprising:

obtaining volumetric imaging data representing an anatomical volume of a brain of a patient;

defining a set of landmarks on the volumetric imaging data;

defining the set of landmarks on brain atlas data;

transforming the brain atlas data to the volumetric imaging data using the set of landmarks; and

calculating a volume of influence using the transformed brain atlas data, wherein the volume of influence comprises a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location.

21. The method of claim 20, including displaying at least one of the volume of influence or the transformed brain atlas data.

22. The method of claim 20, wherein the transforming the brain atlas data to the volumetric imaging data is constrained by a linear differential operator.

23. The method of claim 20, including:

performing a viscous fluid transformation of at least a portion of the brain atlas data to align the brain atlas data to the volumetric imaging data.

24. A system comprising:

a processor including an input configured to receive volumetric imaging data representing an anatomical volume of a brain of a patient, wherein the processor is configured to;

transform brain atlas data to the volumetric imaging data using a set of landmarks defined on the volumetric imaging data and on the brain atlas data; and

calculate a volume of influence using the transformed brain atlas data, wherein the volume of influence comprises a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location.

25. The system of claim 24, including a display, coupled to the processor, the display configured to display at least one of the volume of influence or the transformed brain atlas data.

26. The system of claim 24, wherein the processor is configured to align at least a portion of the brain atlas data to the volumetric imaging data using a viscous fluid transformation.