METHODS AND SYSTEMS FOR ELECTROPHYSIOLOGY ABLATION GAP ANALYSIS

• US 20180221075A1
• Filed: 02/06/2017
• Published: 08/09/2018
• Est. Priority Date: 02/06/2017
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Warner, Adrian F., Schneidewend, Daniel Richard
• Granted Patent: US 10,806,503 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 18/12 by passing a current through the tissue to be heated, e.g. high-frequency current
• CPC Class Codes: A61B 2017/00199 with a console, e.g. a control panel with a display
• CPC Class Codes: A61B 2018/00577 Ablation
• CPC Class Codes: A61B 2018/00642 with feedback, i.e. closed loop control
• CPC Class Codes: A61B 2018/00648 using more than one sensed parameter
• CPC Class Codes: A61B 2018/00666 using a threshold value
• CPC Class Codes: A61B 2018/00702 Power or energy
• CPC Class Codes: A61B 2018/00779 Power or energy
• CPC Class Codes: A61B 2018/00797 measured by multiple temperature sensors
• CPC Class Codes: A61B 2018/00839 Bioelectrical parameters, e.g. ECG, EEG
• CPC Class Codes: A61B 2018/00875 Resistance or impedance
• CPC Class Codes: A61B 2034/105 Modelling of the patient, e.g. for ligaments or bones
• CPC Class Codes: A61B 5/4848 Monitoring or testing the effects of treatment, e.g. of medication

Abstract

A method of identifying gaps between electrophysiology (EP) ablation points may comprise: obtaining a plurality of ablation points recorded from a completed electrophysiology ablation procedure; digitally mapping the plurality of ablation points to an anatomical model corresponding to the completed electrophysiology ablation procedure; calculating ablation gap probability distributions for each of the plurality of ablation points based on ablation tolerance variables associated with each of the plurality of ablation points; and overlaying the ablation gap probability distributions on to the digitally mapped plurality of ablation points on the anatomical model. In this way, ablation gaps may be non-invasively identified prior to patient discharge, thereby allowing for further EP treatment to remove the ablation gaps while reducing readmission rates. Furthermore, by representing ablation points using calculated ablation burn density distributions and ablation gap probabilities, the accuracy of identifying ablation gaps may be increased.

Claims

1. A method of identifying gaps between electrophysiology ablation points, comprising:

obtaining a plurality of ablation points recorded from a completed electrophysiology ablation procedure;

digitally mapping the plurality of ablation points to an anatomical model corresponding to the completed electrophysiology ablation procedure;

calculating ablation gap probability distributions for each of the plurality of ablation points based on ablation tolerance variables associated with each of the plurality of ablation points; and

overlaying the ablation gap probability distributions on to the digitally mapped plurality of ablation points on the anatomical model.

2. The method of claim 1, wherein obtaining the plurality of ablation points, digitally mapping the plurality of ablation points, calculating the ablation gap probability distributions, and overlaying the ablation gap probability distributions are each performed non-invasively, without introducing instruments into a patient'"'"'s body.

3. The method of claim 2, further comprising indicating ablation gaps in the overlaid ablation gap probability distributions when an ablation gap probability increases above a threshold ablation gap probability.

4. The method of claim 3, wherein determining the ablation gap probability includes combining overlapping contributions of ablation gap probability distributions associated with two of the plurality of ablation points.

5. The method of claim 4, wherein the ablation tolerance variables include an anatomical topography variable, wherein an ablation gap probability for an ablation point increases when the anatomical topography variable indicates a more irregular anatomical topography at the ablation point.

6. The method of claim 5, wherein the ablation tolerance variables include an operator experience variable, wherein an ablation gap probability for the ablation point increases when the operator experience variable indicates a lower operator experience.

7. The method of claim 6, wherein the ablation tolerance variables upon which the calculated ablation gap probability distributions are unevenly weighted.

8. The method of claim 7, wherein the calculated ablation gap probability distributions at two of the plurality of ablation points are unequal.

9. A method of identifying gaps between electrophysiology ablation points, comprising:

obtaining a plurality of ablation points recorded from a completed electrophysiology ablation procedure;

digitally mapping the plurality of ablation points on to an anatomical model corresponding to the completed electrophysiology ablation procedure;

calculating ablation burn probability distributions for each of the plurality of ablation points based on ablation tolerance variables associated with each of the plurality of ablation points; and

overlaying the ablation burn probability distributions on to the digitally mapped plurality of ablation points on the anatomical model.

10. The method of claim 9, further comprising indicating ablation gaps in the overlaid ablation burn probability distributions when the ablation burn probability decreases below a threshold ablation burn probability.

11. The method of claim 10, wherein calculating ablation burn probability distributions for each of the plurality of ablation points comprises determining parameters defining the ablation probability distributions at each of the plurality of ablation points based on the ablation tolerance variables.

12. The method of claim 11, wherein calculating ablation burn probability distributions for each of the plurality of ablation points comprises assigning weights to the ablation tolerance variables, wherein the weights determine the relative contribution of each of the ablation tolerance variables to determining the parameters defining the ablation probability distributions.

13. The method of claim 12, wherein assigning weights to the ablation tolerance variables comprises assigning user-input weights.

14. The method of claim 13, wherein calculating the ablation burn probability distributions comprises calculating a Gaussian ablation burn probability distribution, including calculating a mean and a standard deviation of the Gaussian ablation burn probability distribution based on the ablation tolerance variables.

15. An electrophysiology ablation system, comprising:

an operator display, and

a controller electrically coupled to the operator display, the controller including executable instructions thereon to;

obtain a plurality of ablation points recorded from a completed electrophysiology ablation procedure;

digitally map the plurality of ablation points on to an anatomical model corresponding to the completed electrophysiology ablation procedure;

calculate ablation gap probability distributions for each of the plurality of ablation points based on ablation tolerance variables associated with each of the plurality of ablation points;

overlay the ablation gap probability distributions on to the digitally mapped plurality of ablation points on the anatomical model; and

display the ablation gap probability distributions overlaid on to the digitally mapped plurality of ablation points on the anatomical model on the operator display.

16. The electrophysiology ablation system of claim 15, wherein the executable instructions further comprise, determining an ablation gap probability at a first position between two of the plurality of ablation points by combining overlapping ablation gap probability distributions associated with the two ablation points.

17. The electrophysiology ablation system of claim 16, wherein the executable instructions further comprise, in response to an ablation gap probability at the first position between two ablation burn points being greater than a threshold probability, displaying a gap indication on the operator display at the first position.

18. The electrophysiology ablation system of claim 17, wherein the ablation tolerance variables comprises a tissue motion variable, wherein the ablation gap probability corresponding to an ablation point increases when the tissue motion variable indicates a higher time-varying rate of change in position of the ablation point.

19. The electrophysiology ablation system of claim 18, wherein the ablation tolerance variables comprises n patient history variable, wherein the ablation gap probability corresponding to the ablation point increases when the patient history variable indicates a patient history associated with a higher surgery complication risk.

20. The electrophysiology ablation system of claim 19, wherein the executable instructions to overlay the ablation gap probability distributions on to the digitally mapped plurality of ablation points on the anatomical model include overlaying three-dimensional ablation gap probability distributions on to the digital mapped plurality of ablation points on a three-dimensional anatomical model.