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contributor authorSingh, Sundeep
contributor authorMelnik, Roderick
date accessioned2022-02-04T22:11:01Z
date available2022-02-04T22:11:01Z
date copyright10/13/2020 12:00:00 AM
date issued2020
identifier issn2572-7958
identifier otherjesmdt_003_04_041004.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4275045
description abstractThe application of radio frequency ablation (RFA) has been widely explored in treating various types of cardiac arrhythmias. Computational modeling provides a safe and viable alternative to ex vivo and in vivo experimental studies for quantifying the effects of different variables efficiently and reliably, apart from providing a priori estimates of the ablation volume attained during cardiac ablation procedures. In this contribution, we report a fully coupled electrothermomechanical model for a more accurate prediction of the treatment outcomes during the radio frequency cardiac ablation. A numerical model comprising of cardiac tissue and the cardiac chamber has been developed in which an electrode has been inserted perpendicular to the cardiac tissue to simulate actual clinical procedures. Temperature-dependent heat capacity, electrical and thermal conductivities, and blood perfusion rate have been considered to model more realistic scenarios. The effects of blood flow and contact force of the electrode tip on the treatment outcomes of a fully coupled model of RFA have been systematically investigated. The numerical study demonstrates that the predicted ablation volume of RFA is significantly dependent on the blood flow rate in the cardiac chamber and also on the tissue deformation induced due to electrode insertion depth of 1.5 mm or higher.
publisherThe American Society of Mechanical Engineers (ASME)
titleComputational Modeling of Cardiac Ablation Incorporating Electrothermomechanical Interactions
typeJournal Paper
journal volume3
journal issue4
journal titleJournal of Engineering and Science in Medical Diagnostics and Therapy
identifier doi10.1115/1.4048536
journal fristpage041004-1
journal lastpage041004-12
page12
treeJournal of Engineering and Science in Medical Diagnostics and Therapy:;2020:;volume( 003 ):;issue: 004
contenttypeFulltext


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