Accuracy of cardiac scar and fibrosis geometry in ventricular models affects electrical dyssynchrony biomarkers and ML prediction score of CRT response
Author:
Affiliation:
1. Ural Federal University, Institute of Immunology and Physiology UB RAS,Ekaterinburg,Russia
2. Almazov National Medical Research Centre,Saint Petersburg,Russia
Funder
RSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9865235/9865260/09865443.pdf?arnumber=9865443
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2. Comparison of His-Purkinje and Biventricular pacing in patient-specific computer models
3. Generating Purkinje networks in the human heart
4. Non-invasive, model-based measures of ventricular electrical dyssynchrony for predicting CRT outcomes
5. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: a statement for healthcare professionals from the cardiac imaging committee of the council on clinical cardiology of the american heart association;g;Myocardial Segmentation R for Cardiac Imaging,2002
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