Iterative coherent mapping of cardiac electrophysiological (EP) activation including scar effects
A method includes receiving an input mesh representation of a cardiac chamber, a set of measured locations on a wall tissue of the cardiac chamber, and a respective set of local activation times (LATs) measured at the locations. The input mesh is re-meshed into a regular mesh including regularized polygons. The set of measured locations and respective LATs is data fitted to the regularized polygons. Respective LAT values, and respective probabilities that the wall tissue includes scar tissue, are iteratively calculated for the regularized polygons, so as to obtain an electrophysiological (EP) activation wave over the regular mesh that indicates scar tissue. An electroanatomical map overlaid on the regular mesh, the map including the EP activation wave and the scar tissue, is presented.
1. A method, comprising:
receiving an input mesh representation of a cardiac chamber, a set of measured locations on a wall tissue of the cardiac chamber, and a respective set of local activation times (LATs) measured at the locations;
re-meshing the input mesh into a regular mesh comprising regularized polygons;
data fitting the set of measured locations and respective LATs to the regularized polygons;
iteratively calculating for the regularized polygons (i) respective LAT values and (ii) respective probabilities that the wall tissue comprises scar tissue, so as to obtain an electrophysiological (EP) activation wave over the regular mesh that indicates scar tissue;
presenting an electroanatomical map, comprising the EP activation wave and the scar tissue, overlaid on the regular mesh; and
binary tagging at least some of the measured locations to indicate at least one of a presence of a scar and a presence of a double EP potential.
2. The method according to claim 1 , wherein the regularized polygons comprise regularized triangles.
3. The method according to claim 1 , wherein iteratively calculating the LAT values and the probabilities comprises iteratively solving a set of equations for the LAT values, slowness values and propagation of the EP wave.
4. The method according to claim 1 , wherein iteratively calculating the probabilities comprises reassigning to each regularized polygon a slowness vector recalculated using a scar weight multiplier.
5. The method according to claim 1 , wherein presenting the electroanatomical map comprises overlaying on the electroanatomical map conduction arrows indicative of scar tissue.
6. A system, comprising:
an interface, which is configured to receive an input mesh representation of a cardiac chamber, a set of measured locations on a wall tissue of the cardiac chamber, and a respective set of local activation times (LAT) measured at the locations, the interface is configured to receive binary tagging of at least some of the measured locations which indicate at least one of a presence of a scar and a presence of a double EP potential; and
a processor, which is configured to:
re-mesh the input mesh into a regular mesh comprising regularized polygons;
data fit the set of measured locations and respective LATs to the regularized polygons;
iteratively calculate for the regularized polygons (i) respective LAT values and (ii) respective probabilities that the wall tissue comprises scar tissue, so as to obtain an electrophysiological (EP) activation wave over the regular mesh that indicates scar tissue; and
present an electroanatomical map, comprising the EP activation wave and the scar tissue, overlaid on the regular mesh.
7. The system according to claim 6 , wherein the regularized polygons comprise regularized triangles.
8. The system according to claim 6 , wherein the processor is configured to iteratively calculate the LAT values and the probabilities by iteratively solving a set of equations for the LAT values, slowness values and propagation of the EP wave.
9. The system according to claim 6 , wherein the processor is configured to iteratively calculate the probabilities by reassigning to each regularized polygon a slowness vector recalculated using a scar weight multiplier.
10. The system according to claim 6 , wherein the processor is configured to present the electroanatomical map by overlaying on the electroanatomical map conduction arrows indicative of scar tissue.