Simulating a Target Coverage for Deep Brain Stimulation

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.

Claims

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 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.

21. The system of claim 15, wherein the electrode transformation data is determined by applying an image fusion algorithm to the electrode image data and the atlas data.

Description

DESCRIPTION OF THE FIGURES

[0046] In the following, the invention is described with reference to the appended figures which represent a specific embodiment of the invention. The scope of the invention is however not limited to the specific features disclosed in the context of the figures, wherein

[0047] FIG. 1 is a flow diagram showing the steps of the disclosed method; and

[0048] FIG. 2 is an illustration of how the coverage of a functional area of the brain by the electric stimulation field may be varied.

[0049] FIG. 1 shows the flow of the disclosed method. In step S1, the patient image data is acquired which involves loading a set of medical image data describing the anatomical body part. In step S2, the atlas data is acquired by loading a corresponding dataset. In subsequent step S3, the target structure position data is determined by for example drawing or segmenting a selected area in an image representation of the model of the anatomical body part in order to define an area in the model which corresponds to the target anatomical structure (which shall be covered by the electric stimulation field), and then performing image fusion between the medical image described by the patient image data and the model of the anatomical body part described by the atlas data. In step S4, the position of the electrode relative to the position of the target anatomical structure is defined by acquiring the electrode position data. In step S5, the stimulation field data is determined on the basis of previously acquired steering parameters for controlling the electric stimulation field emitted from the positions of contacts on the electrode. The steering parameters represent physical variables governing the geometry and energy distribution of the electric stimulation field. On the basis of the above, the target coverage data is determined in step S6. The steering parameters may be varied in order to achieve a desired (optimal) coverage of the target anatomical structure by the electric stimulation field.

[0050] The left half of FIG. 2 illustrates a medical image showing the position of an electrode 1 placed in an anatomical body part 2 represented by the sub-thalamic nucleus (STN). The electric stimulation field 3 is represented by isoelectric lines around the position of the electrode 1. The right half of FIG. 2 shows what happens if the steering parameters for controlling the electric stimulation field 3 are varied, for example to extend the coverage in the direction defined by arrow 4 towards a target anatomical structure situated in the depicted lower-right part of the STN. This may be done by appropriately varying steering parameters for individual contacts on the directional electrode 4 which shall emit the electric stimulation field. This is done specifically in knowledge of the orientation of the directional electrode 1 so that the orientation (for example, rotational orientation) of each contact relative to the target anatomical structure is known. The process of achieving a desired coverage includes fanning or focusing, respectively, the electric stimulation field as well as rotation of the electric stimulation field around the z-axis (longitudinal axis) of the electrode 1.

[0051] The disclosed method provides the advantage of being able to simulate the effects of a specific configuration of an electric stimulation field without having to implant an electrode for example into the brain. This advantage is due to at least using atlas data as an input to the method which allows to determine the position of the target anatomical structure.