Multi-dimensional method of fundamental solutions for reconstruction of electrophysiological activity

Patent metadata

Field	Value
Publication number	US-11138792-B2
Application number	US-201815943133-A
Country	US
Kind code	B2
Filing date	Apr 2, 2018
Priority date	Apr 2, 2018
Publication date	Oct 5, 2021
Grant date	Oct 5, 2021

Abstract

In an example, an n-dimensional method of fundamental solution (MFS) is used to compute reconstructed electrical activity on a cardiac envelope based on geometry data and electrical data, where n is a positive integer greater than three. The electrical data represents electrical activity measured non-invasively from a plurality of locations distributed on a body surface of a patient, and the geometry data represents three-dimensional body surface geometry for the locations distributed on the body surface where the electrical activity is measured and three-dimensional heart geometry for the cardiac envelope.

First claim

What is claimed is:

1. A system comprising:
memory to store data and executable instructions, the data including electrical data representing electrical activity measured from a plurality of locations distributed on a body surface, the data further including geometry data representing body surface geometry of the locations distributed on the body surface where the electrical activity is measured and geometry of a cardiac envelope; and
at least one processor to access the memory and execute the instructions to at least:
reconstruct electrical activity on to the cardiac envelope based on the geometry data and the electrical data, the reconstructed electrical activity being computed using an n-dimensional method of fundamental solution, where n is a positive integer greater than three.

2. The system of claim 1 , further comprising:
an arrangement of electrodes configured to measure the electrical activity from the plurality of locations distributed on the body surface; and
a display configured to display a graphical visualization generated based on the reconstructed electrical activity.

3. The system of claim 1 , wherein the processor executes the instructions to convert the geometry data, representing the body surface geometry and the geometry of the cardiac envelope in a three-dimensional spatial domain, to corresponding geometry in a three-dimensional subspace of an n-dimensional domain.

4. The system of claim 3 , wherein the processor is further configured to:
determine a plurality of cardiac nodes that define the locations on the cardiac envelope for which the reconstructed electrical activity applies;
determine a plurality of source nodes in the n-dimensional domain outside of the corresponding the three-dimensional spatial domain, one plurality of the source nodes defines body surface source nodes in a first three-dimensional subspace of the n-dimensional domain and another plurality of the source nodes defines cardiac source nodes in a second three-dimensional subspace of the n-dimensional domain;
derive an analytical expression for the method of fundamental solution that includes a matrix A that relates a location of each body surface source node and cardiac source node to the locations distributed on the body surface where the electrical activity is measured and
perform an inverse computation on the A matrix and the noninvasively measured electrical activity to compute a plurality of source node coefficients.

5. The system of claim 4 , wherein the instructions are further configured to:
determine a matrix of coefficients B that relates each cardiac node location to each source node location; and
perform a forward computation using B and the plurality of source node coefficients to compute the electrical activity on the cardiac envelope.

6. The system of claim 4 , wherein the processor is further configured to:
determine the location of each body surface source node in the nth dimension such that it is located a predetermined distance from a corresponding location on the body surface where the electrical activity is measured, and
determine the location of each cardiac source node in the nth dimension such that it is located a predetermined distance from a corresponding cardiac node location.

7. The system of claim 4 , wherein the nth dimension is a fourth dimension, and
wherein the cardiac source nodes are placed in the fourth dimension in a spatial distribution that corresponds to a spatial distribution of the cardiac nodes and the body surface source nodes are placed in the fourth dimension in a spatial distribution that corresponds to a spatial distribution of electrode locations on the body surface where the electrical activity is measured.

8. The system of claim 7 , wherein a distance between the cardiac source nodes and the body surface approximates a distance between the body surface source nodes and the body surface.

9. The system of claim 7 , wherein the value of each entry in the matrix A is calculated as a function of a square of a distance between each body surface node and each source node.

10. The system of claim 4 , wherein the locations of the plurality of cardiac nodes are set, in response to a user input, to reside on a selected at least one of an epicardial surface and an endocardial surface.

11. The system of claim 1 , wherein the processor is further configured to generate a graphical map of cardiac electrical activity from the reconstructed electrical activity.

12. The system of claim 11 , wherein the cardiac envelope includes one of an epicardial surface and an endocardial surface.

13. The system of claim 11 , wherein the cardiac envelope includes both of an epicardial surface and an endocardial surface.

14. The system of claim 11 , wherein the cardiac envelope includes an epicardial surface, an endocardial surface and other structures inside the heart.

15. A method comprising:
using an n-dimensional method of fundamental solution, where n is a positive integer greater than three, to compute reconstructed electrical activity on a cardiac envelope based on geometry data and electrical data,
wherein the electrical data represents electrical activity measured non-invasively from a plurality of locations distributed on a body surface of a patient, and the geometry data represents three-dimensional body surface geometry for the locations distributed on the body surface where the electrical activity is measured and three-dimensional heart geometry for the cardiac envelope.

16. The method of claim 15 , further comprising:
measuring the electrical activity at the plurality of locations distributed on the body surface in a three-dimensional spatial domain over one or more time intervals; and
displaying a graphical visualization of cardiac electrical activity on the cardiac envelope based on the reconstructed electrical activity.

17. The method of claim 15 , further comprising:
converting the geometry data to represent the body surface geometry and the geometry of the cardiac envelope in a three-dimensional subspace along the nth dimension.

18. The method of claim 17 , further comprising:
determining a plurality of cardiac nodes that define the locations in the geometry of the cardiac envelope for which the reconstructed electrical activity applies;
determining a plurality of body surface source nodes in the nth dimension at locations outside of the three-dimensional subspace;
determine a plurality of cardiac source nodes in the nth dimension outside of the three-dimensional subspace;
derive an derive analytical expression for the method of fundamental solution that includes a matrix A that relates a location of each body surface source node to the locations distributed on the body surface where the electrical activity is measured and relates a location of each cardiac source node to the locations on the cardiac envelope for which the reconstructed electrical activity applies; and
perform an inverse computation on the A matrix and the noninvasively measured electrical activity to compute a plurality of source node coefficients.

19. The method of claim 18 , further comprising:
determining a matrix of coefficients B that relates a location of each cardiac node to each source node location; and
performing a forward computation using B and the plurality of source node coefficients to compute the reconstructed electrical activity on the cardiac envelope.

20. The method of claim 18 , further comprising:
determining the location of each body surface source node such th

Assignees

• Cardioinsight Technologies Inc

Inventors

• Wang Yong
• Zeng Qingguo
• Jia Ping
• Lou Qing

Classifications

• A61B5/341 Primary

  Vectorcardiography [VCG] · CPC title

• A61N1/0587

  Epicardial electrode systems; Endocardial electrodes piercing the pericardium · CPC title

• A61B5/363

  Detecting tachycardia or bradycardia · CPC title

• A61B5/339

  Displays specially adapted therefor · CPC title

• G16H30/40

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