Simulating a Target Coverage for Deep Brain Stimulation

Patent metadata

Field	Value
Publication number	US-2023099535-A1
Application number	US-202217957462-A
Country	US
Kind code	A1
Filing date	Sep 30, 2022
Priority date	Dec 16, 2015
Publication date	Mar 30, 2023
Grant date	—

Abstract

A system is disclosed for determining a coverage of a target anatomical structure by an electric stimulation field. The system includes a computer to acquire patient image data and the atlas data, determine, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient. The system also acquires electrode position data and stimulation field data describing an electric stimulation field around the position of the electrode. The system also includes an electrode configuring device for adjusting an emission configuration of the electrode.

First claim

1 . (canceled)

2 . A computer implemented method to adjust emissions of a stimulation electrode, comprising:
acquiring patient image data and atlas data; determining, based on the patient image data and the atlas data, target structure position data describing a position of a target anatomical structure in a medical image of an anatomical body part of a patient; acquiring electrode position data describing a position of the stimulation electrode; acquiring stimulation field data describing an electric stimulation field around the position of the stimulation electrode; determining, based on the patient image data and the atlas data and the electrode position data and the stimulation field data, target coverage data describing a coverage of the target anatomical structure by the electric stimulation field; and determining, based on the patient image data and the atlas data, body part transformation data describing a positional transformation between the medical image of the anatomical body part and a model of the anatomical body part, wherein the target coverage data is determined further based on the body part transformation data,
wherein the target coverage data is determined for use in stimulation of the target anatomical structure by the electric stimulation field of the stimulation electrode, and adjusting an emission configuration of the stimulation electrode with an electrode configuring device.

3 . The method of claim 2 , wherein the position of the stimulation electrode is a relative position of the stimulation electrode with respect to a position of the anatomical body part of the patient as described by the patient image data.

4 . The method of claim 2 , wherein the model of the anatomical body part is an image-based model generated from a statistical analysis of images taken for a plurality of patients.

5 . The method of claim 2 , wherein the body part transformation data is determined by applying an image fusion algorithm to the patient image data and the atlas data.

6 . The method of claim 2 , wherein the electrode is a directional electrode having a plurality of electrically emitting contacts, and wherein the electric stimulation field is adjusted by adjusting a distribution of electric energy onto the plurality of electrically emitting contacts.

7 . The method of claim 2 , further comprising:
acquiring electrode image data describing a second medical image of the stimulation electrode in the anatomical body part of the patient and specifically a relative position between the position of the stimulation electrode and the position of the anatomical body part in the second medical image; determining, based on the electrode image data and the atlas data, electrode transformation data describing a positional transformation between the position of the anatomical body part as described by the second medical image and the position of the model of the anatomical body part, wherein the electrode position data is determined based on the electrode image data and the electrode transformation data and the body part transformation data.

8 . The method of claim 7 , wherein the electrode transformation data is determined by applying an image fusion algorithm to the electrode image data and the atlas data.

9 . The method of claim 2 , wherein the model of the anatomical body part is suitable for comparison with medical image data taken with two different medical imaging modalities, wherein the atlas data describes a multi-modal atlas of the anatomical body part.

10 . The method of claim 2 , further comprising:
determining, based on the patient image data and the target structure position data and the electrode position data, electrode target data describing a relative position between the position of the target anatomical structure and the position of the stimulation electrode, wherein the target coverage data is determined further based on the electrode target data.

11 . The method of claim 2 , further comprising:
acquiring desired coverage data describing a desired coverage of the target anatomical structure by the electric stimulation field; determining coverage difference data describing a difference between the coverage described by the target coverage data and the coverage described by the desired coverage data; varying the stimulation field data to optimize the difference.

12 . The method of claim 2 , wherein the stimulation field data is acquired based on user input.

13 . The method of claim 12 , wherein the user input is manual input of physical values defining the electric stimulation field.

14 . The method of claim 2 , wherein the stimulation field data is acquired based upon predetermined datasets.

15 . A system comprising one or more processors and memory storing instructions that, when executed, cause the one or more processor to perform operations comprising:
acquiring patient image data and atlas data; determining, based on the patient image data and the atlas data, target structure position data describing a position of a target anatomical structure in a medical image of an anatomical body part of a patient; acquiring electrode position data describing a position of the stimulation electrode; acquiring stimulation field data describing an electric; stimulation field around the position of the stimulation electrode; determining, based on the patient image data and the atlas data and the electrode position data and the stimulation field data, target coverage data describing a coverage of the target anatomical structure by the electric stimulation field; and determining, based on the patient image data and the atlas data, body part transformation data describing a positional transformation between the medical image of the anatomical body part and a model of the anatomical body part, wherein the target coverage data is determined further based on the body part transformation data,
wherein the target coverage data is determined for use in stimulation of the target anatomical structure by the electric stimulation field of the stimulation electrode, and adjusting an emission configuration of the stimulation electrode with an electrode configuring device.

16 . The system of claim 15 , wherein the position of the stimulation electrode is a relative position of the stimulation electrode with respect to a position of the anatomical body part of the patient as described by the patient image data.

17 . The system of claim 15 , wherein the model of the anatomical body part is an image-based model generated from a statistical analysis of images taken for a plurality of patients.

18 . The system of claim 15 , wherein the body part transformation data is determined by applying an image fusion algorithm to the patient image data and the atlas data.

19 . The system of claim 15 , wherein the electrode is a directional electrode having a plurality of electrically emitting contacts, and wherein the electric stimulation field is adjusted by adjusting a distribution of electric energy onto the plurality of electrically emitting contacts.

20 . The system of claim 15 , wherein the one or more processors are further configured to perform operations of:
acquiring electrode image data describing a second medical image of the stimulation electrode in the anatomical body part of the patient and specifically a relative position between the position of the stimulation electrode and the position of the anatomical body part in the second medical image; determining, based on the electrode ima

Assignees

• Brainlab Ag

Inventors

• Achatz Stefan
• Varkuti Bálint

Classifications

• A61N1/37235

  Aspects of the external programmer · CPC title

• G16H30/40 Primary

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

• G16H20/30

  relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising · CPC title

• G16H50/50

  for simulation or modelling of medical disorders · CPC title

• A61N1/37247

  User interfaces, e.g. input or presentation means · CPC title