Name
Abstract | ||
|---|---|---|
Driven by recent advances in medical imaging, image segmentation and numerical techniques, computer models of ventricular electrophysiology account for increasingly finer levels of anatomical and biophysical detail. However, considering the large number of model parameters involved parameterization poses a major challenge. A minimum requirement in combined experimental and modeling studies is to achieve good agreement in activation and repolarization sequences between model and experiment or patient data. In this study, we propose basic techniques which aid in determining bidomain parameters to match activation sequences. An iterative parameterization algorithm is implemented which determines appropriate bulk conductivities which yield prescribed velocities. In addition, a method is proposed for splitting the computed bulk conductivities into individual bidomain conductivities by prescribing anisotropy ratios. |
Year | Venue | Keywords |
|---|---|---|
2013 | CinC | bulk conductivity computation,cardiology,ventricular electrophysiology,bioelectric potentials,cardiac electrophysiology simulations,parameter estimation,electrical conductivity,medical image segmentation,computer models,automatic parameterization strategy,numerical techniques,repolarization sequences,anisotropy ratios,activation sequences,patient data,bidomain conductivities,iterative methods,iterative parameterization algorithm |
Field | DocType | Volume |
Anisotropy,Parametrization,Medical imaging,Iterative method,Simulation,Computer science,Algorithm,Cardiac electrophysiology,Image segmentation,Estimation theory | Conference | 40 |
ISSN | ISBN | Citations |
2325-8861 | 978-1-4799-0884-4 | 3 |
PageRank | References | Authors |
0.44 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Caroline Mendonça Costa | 1 | 10 | 4.59 |
| Elena Hoetzl | 2 | 3 | 0.44 |
| Bernardo Martins Rocha | 3 | 3 | 0.44 |
| Anton J. Prassl | 4 | 23 | 3.88 |
| G Plank | 5 | 201 | 33.05 |