Key result
A method for forward ECG modeling using personalized torso models derived from computed tomography scans was developed and accelerated for cardiovascular treatment planning.
Why the study?
Surgical interventions for cardiovascular diseases require accurate planning incorporating patient anatomy and heart activity, which personalized numerical modeling of ECG can make more effective.
Answers are grounded in this paper and cite their sources.
This computational study presents a finite element method for forward ECG modeling using personalized anatomical models to potentially improve the planning of cardiovascular surgical interventions.
Surgical interventions for treatment of cardiovascular diseases require accurate planning, which takes into account information about patients anatomy and heart activity. The activity of the heart is commonly monitored using a non-invasive electrocardiography (ECG) method. The results of personalized numerical modeling of ECG can be used to make the treatment planning more effective. In this paper we present a method for forward ECG modeling with the use of personalized torso model. We use texture-based analysis of patients computed tomography (CT) scans for obtaining the anatomical models of abdominal organs and investigate the influence of each organ on the simulation results. We present and analyze the detailed mathematical problem and its weak formulation. Also we propose a method for acceleration of ECG numerical modeling.
No takes yet. Share an insight, caveat, or question.
Danilov et al. (2019) studied Cardiovascular diseases. Forward ECG modeling with personalized torso model was evaluated. A method for forward ECG modeling using personalized torso models derived from computed tomography scans was developed and accelerated for cardiovascular treatment planning.
Synapse has enriched 10 related papers. Consider them for comparative context: