Optimal deep brain stimulation electrode selection and placement on the basis of stimulation field modelling

Patent metadata

Field	Value
Publication number	US-2019343389-A1
Application number	US-201716478081-A
Country	US
Kind code	A1
Filing date	Feb 28, 2017
Priority date	Feb 28, 2017
Publication date	Nov 14, 2019
Grant date	—

Abstract

Disclosed is a computer-implemented medical data processing method for planning a position of an electric stimulation device for neurostimulation of at least two target regions (TV1, . . . , TVN) disposed in an anatomical body part of a patient's body, the electric stimulation device (7) comprising at least two electric contacts, the method comprising executing, on at least one processor of at least one computer (3), steps of: a) acquiring (S1.1), at the at least one processor, medical image data describing a digital image of the anatomical body part, wherein the anatomical body part contains at least two target regions (TV1, . . . , TVN); b) determining (S1.2), by the at least one processor and based on the medical image data, target position data describing a position of each target region (TV1, . . . , TVN) in the anatomical body part; c) acquiring (S1.3), at the at least one processor, electric stimulation device geometry data describing a distance between the at least two contacts of the electric stimulation device (7); d) determining (S1.4), by the at least one processor and based on the target position data, target distance data describing a distance between each pair of the at least two target regions; e) determining (S1.5), by the at least one processor and based on the target position data and the target distance data and the electric stimulation device geometry data, electric stimulation device position data describing a stimulation position which is a relative position between the at least two target regions (TV1, . . . , TVN) and the electric stimulation device (7) which allows for stimulation of the at least two target regions (TV1, . . . , TVN) by the electric stimulation device (7).

First claim

1 .- 17 . (canceled)

18 . A computer-implemented method for planning a position of an electric stimulation device for neurostimulation of at least two target regions disposed in an anatomical body part of a patient's body, the electric stimulation device comprising at least two electric contacts, comprising executing on at least one processor of at least one computer the steps of:
acquiring, at the at least one processor, medical image data describing a digital image of the anatomical body part, wherein the anatomical body part contains at least two target regions; determining, by the at least one processor and based on the medical image data, target position data describing a position of each target region in the anatomical body part; acquiring, at the at least one processor, electric stimulation device geometry data describing a distance between the at least two contacts of the electric stimulation device; determining, by the at least one processor and based on the target position data, target distance data describing a distance between each pair of the at least two target regions; determining, by the at least one processor and based on the target position data and the target distance data and the electric stimulation device geometry data, electric stimulation device position data describing a stimulation position which is a relative position between the at least two target regions and the electric stimulation device which allows for stimulation of the at least two target regions by the electric stimulation device.

19 . The method according to claim 18 wherein each of the at least two target regions contains at least one nerve fibre.

20 . The method according to claim 18 , further comprising:
acquiring, at the at least one processor, atlas data describing an image-based model of the anatomical body part, wherein the method comprises at least one of: i) determining, by the at least one processor and based on the atlas data and the medical image data, the target position data; or ii) determining, by the at least one processor and based on the atlas data and the medical image data, avoidance region data describing the position of at least one avoidance region in the anatomical body part.

21 . The method according to claim 20 wherein,
when the method comprises step i), the target position data is determined by applying a statistical map of potential target positions in the image-based model described by the atlas data, or by applying a segmentation of the atlas data describing a position of at least one potential target region in the image-based model, to the medical image data, and wherein,
when the method comprises step ii), the avoidance region data is determined by applying a statistical map of positions of potential avoidance regions in the image-based model described by the atlas data, or by applying a segmentation of the atlas data describing a position of at least one avoidance region in the image-based model, to the medical image data.

22 . The method according to claim 18 wherein the stimulation position allows for stimulation of the at least two target regions by the at least two contacts.

23 . The method according to claim 18 wherein the target distance data is determined further based on the electric stimulation device geometry data, by considering a distance between the target regions having a predetermined relationship, not larger than, the distance between the at least two contacts.

24 . The method according to claim 20 , further comprising:
determining, by the at least one processor and based on the target position data, search region data describing each one search region around the position of each one of the at least two target regions, wherein the electric stimulation device position data is determined, by the at least one processor, further based on the search region data.

25 . The method according to claim 24 wherein the search regions are defined by lattices having lattice points.

26 . The method according to claim 25 wherein the electric stimulation device position data is determined, by the at least one processor, by determining a plurality of trajectories which run through a lattice point of the search region associated with a first one of the at least two target regions, and run through a lattice point of the search region associated with a second other one of the at least two target regions.

27 . The method according to claim 26 wherein the trajectories are straight line trajectories.

28 . The method according to claim 24 wherein the stimulation position is determined by selecting, from the plurality of trajectories, one optimal trajectory which may serve as a trajectory for inserting the electric stimulation device in the anatomical body part so that coverage of the at least two target regions for stimulation by the electric stimulation device is optimal considering the distance between the at least two contacts.

29 . The method according to claim 28 wherein the method comprises determining the avoidance region data and wherein the optimal trajectory is selected if it has a predetermined spatial relationship relative to an avoidance region in the anatomical body part.

30 . A non-transitory computer-readable program storage medium for planning a position of an electric stimulation device for neurostimulation of at least two target regions disposed in an anatomical body part of a patient's body, the electric stimulation device comprising at least two electric contacts, comprising instructions which when executed by the at least one processor causes the at least one processor to:
acquire, at the at least one processor, medical image data describing a digital image of the anatomical body part, wherein the anatomical body part contains at least two target regions; determine, by the at least one processor and based on the medical image data, target position data describing a position of each target region in the anatomical body part; acquire, at the at least one processor, electric stimulation device geometry data describing a distance between the at least two contacts of the electric stimulation device; determine, by the at least one processor and based on the target position data, target distance data describing a distance between each pair of the at least two target regions; determine, by the at least one processor and based on the target position data and the target distance data and the electric stimulation device geometry data, electric stimulation device position data describing a stimulation position which is a relative position between the at least two target regions and the electric stimulation device which allows for stimulation of the at least two target regions by the electric stimulation device.

31 . A medical system for planning a position of an electric stimulation device for neurostimulation of at least two target regions disposed in an anatomical body part of a patient's body, the electric stimulation device comprising at least two electric contacts, the system comprising:
at least one processor executing instructions stored on associated memory, the instructions causing the at least one processor to: acquire, at the at least one processor, medical image data describing a digital image of the anatomical body part, wherein the anatomical body part contains at least two target regions; determine, by the at least one processor and based on the medical image data, target position data describing a position of each target region in the anatomical body part; acquire, at the at least one processor, electric stimulation device geometry data describin

Assignees

• Brainlab Ag

Inventors

• Varkuti Bálint

Classifications

• A61N1/0534

  Electrodes for deep brain stimulation · CPC title

• A61B5/0036 Primary

  including treatment, e.g., using an implantable medical device, ablating, ventilating · CPC title

• G16H30/40

  for processing medical images, e.g. editing · CPC title

• G16H50/30

  for calculating health indices; for individual health risk assessment · CPC title

• G16H50/70

  for mining of medical data, e.g. analysing previous cases of other patients · CPC title