Efficient treatment of atrial fibrillation using three-dimensional electrical potential model

1. A method for guiding electrophysiology (EP) intervention using a patient-specific electrophysiology model, comprising:

acquiring a medical image of a region of interest of a patient subject;

acquiring a set of sparse EP signals over an anatomy of the region of interest using the acquired medical image for guidance;

interpolating the acquired set of sparse EP signals using a patient specific computational electrophysiology model to generate an enlarged set of EP signals, the enlarged set of EP signals including more EP signals than the set of sparse EP signals;

generating a three-dimensional model of EP dynamics within the region of interest using the enlarged set of EP signals;

displaying a rendering of the generated three-dimensional model to a user;

receiving, from the user, a set of one or more candidate intervention sites;

simulating effects on the EP dynamics within the region of interest resulting from intervention at the set of one or more candidate intervention sites using the generated three-dimensional model; and

displaying a rendering of the three-dimensional model showing the simulated effects to the user.

2. The method of claim 1 , further comprising:

receiving, from the user, an indication of whether the simulated effects are acceptable, and when the received indication indicates that the simulated effects are not acceptable, repeating the steps of:

displaying a rendering of the generated three-dimensional model to a user;

receiving, from the user, a set of one or more candidate intervention sites;

simulating effects on the EP dynamics within the region of interest resulting from intervention at the set of one or more candidate intervention sites using the generated three-dimensional model; and

displaying a rendering of the three-dimensional model showing the simulated effects to the user, until an indication indicating that the simulated effects are acceptable is received from the user.

3. The method of claim 2 , further comprising:

providing visual guidance to the user to perform intervention at the set of one or more candidate intervention sites;

re-acquiring the set of sparse EP signals over the anatomy of the region of interest;

interpolating the re-acquired set of sparse EP signals to generate an updated enlarged set of EP signals, the updated enlarged set of EP signals including more EP signals than the re-acquired set of sparse EP signals;

updating the three-dimensional model of EP dynamics within the region of interest using the updated enlarged set of EP signals; and

displaying a rendering of the updated three-dimensional model to the user.

4. The method of claim 1 , wherein the region of interest includes cardiac atria or ventricles.

5. The method of claim 1 , wherein the acquired medical image is a computed tomography (CT), magnetic resonance (MR), ultrasound (US) or rotational angiography image.

6. The method of claim 5 , wherein at least one of a left and right atria are segmented from the acquired medical image.

7. The method of claim 1 , wherein acquiring the set of sparse EP signals includes providing, to the user, one or more measurement point suggestions.

8. The method of claim 7 , wherein the one or more measurement point suggestions are derived from the three-dimensional model.

9. The method of claim 1 , wherein the interpolating of the acquired set of sparse EP signals includes using a computations model of cardiac electrophysiology.

10. The method of claim 1 , wherein the user uses the displaying of the rendering of the generated three-dimensional model to detect one more rotors or other abnormal EP patterns.

11. The method of claim 1 , wherein one more rotors or other abnormal EP patterns are automatically detected from the generated three-dimensional model of EP dynamics.

12. The method of claim 1 , wherein the intervention includes tissue ablation using radio-frequency, micro-wave, cryo-technology or ultrasound.

13. The method of claim 1 , wherein the simulating of the effects on the EP dynamics includes using a heat or cold transfer model coupled with tissue viability model.

14. The method of claim 1 , wherein the displaying of the rendering of the three-dimensional model showing the simulated effects to the user includes illustrating one or more ablation targets, with updated cardiac electrophysiology computed from the electrophysiology model.

15. The method of claim 1 , wherein the displaying of the rendering of the three-dimensional model showing the simulated effects to the user includes illustrating one or more ablation targets, without updated cardiac electrophysiology computed from the electrophysiology model.

16. The method of claim 1 , wherein the method is used to treat atrial fibrillation, atrial tachycardia, atrial flutter, ventricular tachycardia, or ventricular fibrillation.

17. A method for modeling cardiac atrial electrophysiology (EP), comprising:

acquiring a medical image of an atria of a patient subject;

acquiring a set of sparse EP signals over an anatomy of the atria using the acquired medical image for guidance;

interpolating the acquired set of sparse EP signals to generate an enlarged set of EP signals, the enlarged set of EP signals including more EP signals than the set of sparse EP signals;

generating a three-dimensional model of EP dynamics within the atria using the enlarged set of EP signals; and

simulating effects on the EP dynamics within the atria resulting from an intervention using the generated three-dimensional model.

18. The method of claim 17 , wherein the acquired medical image is a computed tomography (CT), magnetic resonance (MR), ultrasound (US) or rotational angiography image.

19. The method of claim 17 , wherein acquiring the set of sparse EP signals includes providing, to a user, one or more measurement point suggestions.

20. The method of claim 17 , wherein the interpolating of the acquired set of sparse EP signals includes using a patient-specific computations model of electrophysiology.

21. A method for automatically detecting rotors, comprising:

acquiring a medical image of an atria of a patient subject;

acquiring a set of sparse electrophysiology (EP) signals over an anatomy of the atria using the acquired medical image for guidance;

interpolating the acquired set of sparse EP signals to generate an enlarged set of EP signals, the enlarged set of EP signals including more EP signals than the set of sparse EP signals;

generating a three-dimensional model of EP dynamics within the atria using the enlarged set of EP signals;

detecting one or more rotors from the generated three-dimensional model; and

simulating effects on the EP dynamics within the atria resulting from an intervention for the detected one or more rotors using the generated three-dimensional model.

22. The method of claim 21 , further including displaying a rendering of the three-dimensional model showing the detected one or more rotors to a user.