Abstract
Model customisation to represent specific experimental or clinical cases is becoming increasingly important as simulations aim to characterise individual variability under physiological and pathological conditions. This study presents a new methodology to customise and regularise heart shape and fibres using imaging data (MRI and DT-MRI). The effect of using generic conductivity tensor values in electrophysiology simulations on these customised meshes is investigated. Simulation results demonstrate the ability of generic parameters to approximate epicardial activation patterns in healthy porcine hearts. Results also show a limited sensitivity of electrical activation times to the anisotropy of these parameters.
Original language | English |
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Title of host publication | STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART |
Editors | O Camara, M Pop, K Rhode, M Sermesant, N Smith, A Young |
Place of Publication | BERLIN |
Publisher | Springer |
Pages | 252-260 |
Number of pages | 9 |
Volume | 6364 LNCS |
ISBN (Print) | 978-3-642-15834-6 |
Publication status | Published - 2010 |
Event | 1st International Workshop on Statistical Atlases and Computational Models of the Heart - Bejing Duration: 20 Sept 2010 → … |
Conference
Conference | 1st International Workshop on Statistical Atlases and Computational Models of the Heart |
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City | Bejing |
Period | 20/09/2010 → … |