Name
Abstract | ||
|---|---|---|
Electroanatomical maps (EAM) are currently used to visualize electrical activation patterns jointly with the patient's anatomy. However, they are intrinsically specific to each subject and suffer from the lack of a common space of coordinates in which intra-and inter-subject comparisons can be performed. We propose a method for mapping this EAM surface-based information to a common geometry (using a homeomorphic mapping to a disk) to solve this issue. By applying our methodology to EAM from an experimental swine model of left bundle branch block (LBBB) dyssynchrony, we show that this provides insights into (i) the changes in electrical patterns induced by LBBB and (ii) the extent, to which consecutive resynchronization is able to restore such patterns. Analyzing the experimental data with our methodology, we demonstrate that CRT not only partially restores the global activation but also the local activation patterns, which had been degraded by the induction of LBBB. |
Year | Venue | Keywords |
|---|---|---|
2013 | 2013 COMPUTING IN CARDIOLOGY CONFERENCE (CINC) | biomedical imaging,cardiology,synchronisation |
Field | DocType | Volume |
Left bundle branch block,Experimental data,Pattern recognition,Medical imaging,Computer science,Simulation,Artificial intelligence,Patient treatment | Conference | 40 |
ISSN | Citations | PageRank |
2325-8861 | 2 | 0.43 |
References | Authors | |
2 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Soto-Iglesias | 1 | 18 | 5.91 |
| N Duchateau | 2 | 199 | 20.53 |
| Constantine Butakoff | 3 | 336 | 32.52 |
| David Andreu | 4 | 22 | 4.41 |
| Juan Fernandez-Armenta | 5 | 23 | 4.47 |
| Antonio Berruezo | 6 | 24 | 6.86 |
| Marta Sitges | 7 | 132 | 12.62 |
| Oscar Camara | 8 | 123 | 17.87 |