Simulating a target coverage for deep brain stimulation

Patent metadata

Field	Value
Publication number	US-10639471-B2
Application number	US-201715431575-A
Country	US
Kind code	B2
Filing date	Feb 13, 2017
Priority date	Dec 16, 2015
Publication date	May 5, 2020
Grant date	May 5, 2020

Abstract

Disclosed is a computer-implemented method for determining a coverage of a target anatomical structure by an electric stimulation field, the method comprising executing, on at least one processor of at least one computer, steps of:
a) acquiring patient image data describing a medical image of the anatomical body part of a patient, wherein the anatomical body part includes the target anatomical structure b) acquiring atlas data describing a model of the anatomical body part and information about the position of a model target structure in the model of the anatomical body part, the model target structure corresponding to the target anatomical structure; c) determining, 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; d) acquiring, electrode position data describing a relative position between a position of an electrode and a position of the anatomical body part of the patient as it is described by the patient image data; e) acquiring stimulation field data describing an electric stimulation field around the position of the electrode; f) 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.

First claim

The invention claimed is:

1. A computer-implemented method for determining a coverage of a target anatomical structure by an electric stimulation field, the method comprising executing, on at least one processor of at least one computer, steps of:
a) acquiring, at the at least one processor, patient image data describing a medical image of an anatomical body part of a patient, wherein the anatomical body part includes the target anatomical structure;
b) acquiring, at the at least one processor, atlas data describing a model of the anatomical body part and information about the position of a model target structure in the model of the anatomical body part, the model target structure corresponding to the target anatomical structure and wherein the model of the anatomical body part is an image based model;
c) determining, by the at least one processor and 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;
d) acquiring, at the at least one processor, electrode position data describing a relative position between a position of an electrode and a position of the anatomical body part of the patient as it is described by the patient image data;
e) acquiring, at the at least one processor, stimulation field data describing an electric stimulation field around the position of the electrode;
f) determining, by the at least one processor and 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, by the at least one processor and 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 the model of the anatomical body part, wherein the target coverage data is determined further based on the body part transformation data, and
wherein the target coverage data is determined for use in deep brain stimulation of the target anatomical structure by the electric stimulation field of the electrode.

2. The method according to claim 1 , wherein the imaged based model of the anatomical body part is generated from a statistical analysis of images taken for a plurality of patients.

3. The method according to claim 1 , wherein the body part transformation data is determined by applying an image fusion algorithm to the patient image data and the atlas data.

4. The method according to claim 1 , 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 contacts.

5. The method according to claim 1 , further comprising:
acquiring, at the at least one processor, electrode image data describing a second medical image of the electrode in the anatomical body part of the patient and specifically a relative position between the position of the electrode and the position of the anatomical body part in the second medical image;
determining, by the at least one processor and 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 it is described by the second medical image and the position of the model of the anatomical body part;
wherein the electrode position data is determined, by the at least one processor, based on the electrode image data and the electrode transformation data and the body part transformation data.

6. The method according to claim 5 , wherein the electrode transformation data is determined by applying an image fusion algorithm to the electrode image data and the atlas data.

7. The method according to claim 5 , 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.

8. The method according to claim 7 , further comprising:
determining, by the at least one processor and 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 electrode;
wherein the target coverage data is determined further based on the electrode target data.

9. The method according to claim 1 , further comprising:
acquiring, at the at least one processor, desired coverage data
describing a desired coverage of the target anatomical structure by the electric stimulation field;
determining, by the at least one processor, 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, by the at least one processor, the stimulation field data in order to optimize the difference.

10. The method according to claim 1 , wherein the stimulation field data is acquired based on user input.

11. The method according to claim 10 , wherein the user input is manual input of physical values defining the electric stimulation field.

12. A non-transitory computer readable storage medium on which a program is stored, which, when executed by at least one processor, causes the at least one processor to perform the steps comprising:
a) acquiring patient image data describing a medical image of an anatomical body part of a patient, wherein the anatomical body part includes the target anatomical structure;
b) acquiring atlas data describing a model of the anatomical body part and information about the position of a model target structure in the model of the anatomical body part, the model target structure corresponding to the target anatomical structure and wherein the model of the anatomical body part is an image based model;
c) determining, 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;
d) acquiring electrode position data describing a relative position between a position of an electrode and a position of the anatomical body part of the patient as it is described by the patient image data;
e) acquiring stimulation field data describing an electric stimulation field around the position of the electrode;
f) 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, by the at least one processor and 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 the model of the anatomical body part, wherein the target coverage data is determined further based on the body part transformation data, and
wherein the target coverage data is determined for use in deep brain stimulation of the target anatomical structure by the electric stimulation field of the electrode.

Assignees

• Brainlab Ag

Inventors

• Achatz Stefan
• Varkuti Bálint

Classifications

• G06F16/50

  of still image data · CPC title

• A61N1/37247

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

• A61N1/37235

  Aspects of the external programmer · CPC title

• A61N1/37241

  providing test stimulations · CPC title

• G16H30/20

  for handling medical images, e.g. DICOM, HL7 or PACS · CPC title