Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Grandits, T; Effland, A; Pock, T; Krause, R; Plank, G; Pezzuto, S.
GEASI: Geodesic-based earliest activation sites identification in cardiac models.
Int J Numer Method Biomed Eng. 2021; 37(8):e3505 Doi: 10.1002/cnm.3505 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Führende Autor*innen der Med Uni Graz
Grandits Thomas
Co-Autor*innen der Med Uni Graz
Plank Gernot
Altmetrics:

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

Abstract:
The identification of the initial ventricular activation sequence is a critical step for the correct personalization of patient-specific cardiac models. In healthy conditions, the Purkinje network is the main source of the electrical activation, but under pathological conditions the so-called earliest activation sites (EASs) are possibly sparser and more localized. Yet, their number, location and timing may not be easily inferred from remote recordings, such as the epicardial activation or the 12-lead electrocardiogram (ECG), due to the underlying complexity of the model. In this work, we introduce GEASI (Geodesic-based Earliest Activation Sites Identification) as a novel approach to simultaneously identify all EASs. To this end, we start from the anisotropic eikonal equation modeling cardiac electrical activation and exploit its Hamilton-Jacobi formulation to minimize a given objective function, for example, the quadratic mismatch to given activation measurements. This versatile approach can be extended to estimate the number of activation sites by means of the topological gradient, or fitting a given ECG. We conducted various experiments in 2D and 3D for in-silico models and an in-vivo intracardiac recording collected from a patient undergoing cardiac resynchronization therapy. The results demonstrate the clinical applicability of GEASI for potential future personalized models and clinical intervention.
Find related publications in this database (using NLM MeSH Indexing)
Computer Simulation - administration & dosage
Electrocardiography - administration & dosage
Heart - administration & dosage
Heart Ventricles - administration & dosage
Humans - administration & dosage

Find related publications in this database (Keywords)
cardiac model personalization
earliest activation sites
eikonal equation
Hamilton-Jacobi formulation
inverse ECG problem
topological gradient
© Med Uni Graz Impressum