Methods and systems for wavelength mapping cardiac fibrillation and optimizing ablation lesion placement
A system that executes a process for mapping cardiac fibrillation and optimizing ablation treatments. The process, in some embodiments, includes: positioning a two dimensional electrode array to several locations in a patient's heart and at each location, obtaining a conduction velocity and a cycle length measurement from at least two local signals in response to electrical activity in the cardiac tissue. In some embodiments, a regional wavelength is calculated by multiplying the local conduction velocity with the local minimum cycle length. The system can then create a wavelength distribution map that identifies the location of the drivers in the heart. In certain embodiments, the system uses variability of conduction velocity and cycle length in an area to determine the driver type. In some embodiments, the system calculates average distance of drivers to non-conductive tissue boundaries. The system then selects ablation placements that maximize treatment efficacy while minimizing tissue damage.
1. A method for optimizing ablation lesion placement in a patient's heart, the method comprising:
providing a system for making measurements indicative of fibrillogenicity in a patient, the system comprising:
an ECG/EKG subsystem for collecting measurements indicative of tissue activation wavelength and minimum circuit area; and
an imaging subsystem for acquiring measurements indicative of a tissue substrate's total boundary length, total surface area, and boundary-length-to-surface-area ratio;
generating, via the system, a tissue property distribution map of a portion of a patient's heart, the tissue property distribution map comprises at least a conduction velocity distribution map and a cycle length distribution map of the portion of the patient's heart,
wherein the conduction velocity distribution map is based, at least in part, on
conduction velocity measurements associated with the portion of the patient's heart, wherein said measurements comprise conduction velocity variability based on a standard deviation in conduction velocity measurements obtained across at least two electrical waves; and
wherein the cycle length distribution map of the portion of the patient's hear is based, at least in part, on cycle length measurements associated with the portion of the patient's heart, wherein said measurements comprise cycle length variability is based on a standard deviation in cycle length measurements obtained across the at least two electrical waves;
automatically identifying, via the system, one or more locations and types of atrial fibrillation driver/circuits in the portion of the patient's heart based, at least in part, on an analysis of the conduction velocity distribution map and the cycle length distribution map; and
estimating, via the system, an optimal ablation lesion placement and a least amount of ablation lesions needed to effectively reduce atrial fibrillation based on the identified one or more locations and types of atrial fibrillation driver/circuits in the portion of the patient's heart.
2. The method of claim 1 , wherein the system categorizes an atrial fibrillation driver/circuit as a stationary rotor if the conduction velocity variability and the cycle length variability are, respectively, below a predetermined threshold value.
3. The method of claim 2 , further comprising identifying a center of a stationary rotor.
4. The method of claim 3 , wherein the center of the stationary rotor is identified by the region of the rotor with the lowest conduction velocity.
5. The method of claim 3 , wherein estimating the optimal ablation lesion placement includes projecting an ablation to the center of the stationary rotor.
6. The method of claim 1 , wherein the system categorizes an atrial fibrillation driver/circuit as a moving driver if the conduction velocity variability and the cycle length variability are, respectively, above a predetermined threshold value.
7. The method of claim 6 , further comprising calculating an average travel distance of the moving driver to a non-conductive tissue boundary to determine an optimal location for the ablation lesion placement.
8. The method of claim 7 , wherein the non-conductive tissue boundary is a potential ablation lesion line.
9. The method of claim 7 , wherein estimating the optimal ablation lesion placement further comprising selecting an ablation lesion line that results in the smallest average travel distance.