Name
Title | ||
|---|---|---|
Prediction Of Crt Activation Sequence By Personalization Of Biventricular Models From Electroanatomical Maps |
Abstract | ||
|---|---|---|
Optimization of lead placement and interventricular delay settings in patients under cardiac resynchronization therapy is a complex task that might benefit from prior information based on models. Biophysical models can be used to predict the sequence of electrical heart activation in a patient given a set of parameters which should be personalized to the patient. In this paper, we use electroanatomical maps to personalize the endocardial activation of the right ventricle, and the different tissue conductivities in a pig model with left bundle branch block, to reproduce personalized biventricular activations. Following, we tested the personalized heart model by virtually simulating cardiac resynchronization therapy. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-39074-7_36 | STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART: MULTI-SEQUENCE CMR SEGMENTATION, CRT-EPIGGY AND LV FULL QUANTIFICATION CHALLENGES |
Keywords | Field | DocType |
Cardiac resynchronization therapy, Tissue properties personalization, Biophysical modeling | Computer science,Artificial intelligence,Machine learning,Personalization | Conference |
Volume | ISSN | Citations |
12009 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Francisco Gomez | 1 | 0 | 0.34 |
| B. Trenor | 2 | 3 | 3.78 |
| Rafael Sebastian | 3 | 38 | 12.23 |