Clinician programmer system and method for steering volumes of activation

• US 8,855,773 B2
• Filed: 08/23/2011
• Issued: 10/07/2014
• Est. Priority Date: 05/15/2008
• Status: Active Grant

• Current Assignee: IntElect Medical, Inc. (Boston Scientific Corporation)
• Original Assignee: IntElect Medical, Inc. (Boston Scientific Corporation)
• Inventors: Kokones, Scott, Blum, David Arthur, Carlton, Keith, Sparks, Troy
• Primary Examiner(s): Kahelin, Michael
• Assistant Examiner(s): FAIRCHILD, MALLIKA DIPAYAN
• Application Number:
  US13/137,511
• Publication Number:
  US 20110313487A1
• Time in Patent Office: 1,141 Days
• Field of Search: 607/30, 607/59, 607/45, 607/46, 606/129
• US Class Current: 607/45
• CPC Class Codes: A61B 2034/104 Modelling the effect of the tool, e.g. the effect of an implanted prosthesis or for predicting the effect of ablation or burring
• CPC Class Codes: A61B 2034/105 Modelling of the patient, e.g. for ligaments or bones
• CPC Class Codes: A61B 2034/107 Visualisation of planned trajectories or target regions
• CPC Class Codes: A61B 2090/103 Cranial plugs for access to brain
• CPC Class Codes: A61B 34/10 Computer-aided planning, simulation or modelling of surgical operations
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61N 1/36082 Cognitive or psychiatric applications, e.g. dementia or Alzheimer's disease
• CPC Class Codes: A61N 1/36128 Control systems
• CPC Class Codes: A61N 1/36185 Selection of the electrode configuration
• CPC Class Codes: A61N 1/37247 User interfaces, e.g. input or presentation means
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 70/20 relating to practices or guidelines

Abstract

A system and method for selection of stimulation parameters for Deep Brain Stimulation (DBS) may include a processor that displays in a display device and in relation to a displayed model of a leadwire including model electrodes, a current field corresponding to a first stimulation parameter set, provides a user interface for receipt of user input representing a shift of the current field, in response to the user input, moves, in the display device, the current field with respect to the displayed model, determines a second stimulation parameter set that results in the moved current field, and outputs the second stimulation parameter set and/or sets a stimulation device with the second stimulation parameter set, where the stimulation device is configured for performing a stimulation using the leadwire in accordance with the second stimulation parameter set.

Claims

1. A computer-implemented surgical planning method, comprising:

prior to surgical insertion of a stimulation apparatus into a patient;

obtaining, by a computer processor, user-input of at least one of a medical indication of a patient and a medical therapeutic goal for the patient;

based on the obtained user-input, searching, by the processor, a database of stimulation volumes associated with the at least one of the medical indication and the therapeutic goal;

based on a result of the searching, automatically selecting, by the processor, a target stimulation region for the patient; and

displaying, by the processor and relative to a patient-specific anatomical model, a representation of target stimulation region for stimulation by the stimulation apparatus.

2. The method of claim 1, further comprising:

generating, by the processor, the anatomical model based on an anatomical image.

3. The method of claim 2, wherein the anatomical image includes at least one of a computed tomography (CT) image and a magnetic resonance (MR) image.

4. The method of claim 1, further comprising:

determining and outputting, by the processor, at least one of a burr hole location for insertion of the stimulation apparatus, an angle of entry of the stimulation apparatus into the patient at the burr hole, and a path of the stimulation apparatus from the burr hole to the target stimulation region.

5. The method of claim 1, wherein the anatomical model is a three-dimensional model.

6. The method of claim 1, wherein the anatomical model is a two-dimensional model.

7. The method of claim 1, further comprising:

receiving a click-and-drag input; and

responsive to the input, modifying the target stimulation region representation.

8. The method of claim 1, further comprising:

prior to the surgical insertion of the stimulation apparatus into the patient;

automatically selecting, by the computer processor, a patient-specific implantation location of the stimulation apparatus and patient-specific stimulation settings of the stimulation apparatus for providing a therapeutic stimulation to an anatomical region of the patient corresponding to the automatically selected target stimulation region; and

outputting the selected implantation location and settings.

9. The method of claim 8, wherein the implantation location and settings are determined based on the patient-specific anatomical model.

10. The method of claim 8, wherein the selecting of the implantation location and settings includes simulating at least one volume of activation (VOA) relative to a patient-specific anatomical model, the VOA being an estimated volume of tissue activated by the stimulation apparatus.

11. The method of claim 8, wherein the outputting includes displaying a representation of the stimulation apparatus relative to the patient-specific anatomical model.

12. The method of claim 1, wherein:

the stimulation volumes of the database include a plurality of volumes that are (a) estimated as having been stimulated in a patient population by application of respective sets of stimulation parameters to respective patients of the patient population, and (b) each associated in the database with a respective benefit; and

the selection of the target stimulation region includes selecting one or more of the plurality of volumes.

13. The method of claim 12, wherein the selection of the target stimulation region includes combining more than one of the plurality of volumes to generate a new volume as the target region.

14. The method of claim 13, wherein the combined volumes are all associated with one or more respective benefits relevant to the patient, and the selection of the target stimulation region further includes subtracting from the combined volumes a volume included in an estimated stimulation volume that is not associated with any benefit relevant to the patient.

15. The method of claim 1, wherein:

the database includes a plurality of volumes that are (a) estimated as having been stimulated in a patient population by application of respective sets of stimulation parameters to respective patients of the patient population, and (b) each associated in the database with a respective adverse side effect; and

the selection of the target stimulation region is performed based on the plurality of volumes.

16. The method of claim 15, wherein the processor is configured to combine more than one of the plurality of volumes and subtract from the combination a volume estimated to have been stimulated in the patient population without occurrence of the one or more side effects with which the more than one of the plurality of volumes are associated, to thereby obtain a new volume for selection of the target stimulation region.

17. The method of claim 1, wherein the automatically selecting includes combining and subtracting volumes of the database based on respective associations with therapeutic effects and adverse side effects, wherein different ones of the therapeutic effects are differently weighted and different ones of the adverse side effects are differently weighted for determining whether to combine or subtract the respective volumes.

18. The method of claim 1, wherein the automatically selecting includes combining volumes of the database based on respective associations of the volumes in the database with one or more therapeutic effects.

19. The method of claim 1, wherein the automatically selecting includes combining volumes of the database based on respective associations of the volumes in the database with a plurality of therapeutic effects.