2000
DOI: 10.1007/bf02345754
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Thermal—electrical finite element modelling for radio frequency cardiac ablation: Effects of changes in myocardial properties

Abstract: Finite element (FE) analysis has been utilised as a numerical tool to determine the temperature distribution in studies of radio frequency (RF) cardiac ablation. However, none of the previous FE analyses clarified such computational aspects as software requirements, computation time or convergence test. In addition, myocardial properties included in the previous models vary greatly. A process of FE modelling of a system that included blood, myocardium, and an ablation catheter with a thermistor embedded at the… Show more

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Cited by 109 publications
(116 citation statements)
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References 16 publications
(7 reference statements)
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“…Several studies have been conducted to describe lesion growth for radiofrequency ablation devices [2,[9][10][11][12]21,24,[29][30][34][35]. In the majority of these cases, markers such as temperature isotherms and thermal dosing are used as the primary measure for lesion size.…”
Section: Discussionmentioning
confidence: 99%
“…Several studies have been conducted to describe lesion growth for radiofrequency ablation devices [2,[9][10][11][12]21,24,[29][30][34][35]. In the majority of these cases, markers such as temperature isotherms and thermal dosing are used as the primary measure for lesion size.…”
Section: Discussionmentioning
confidence: 99%
“…However, to our knowledge, the majority of the numerical models of RF heating using an active electrode include only a limited fragment of biological tissue and active electrode [17,19,22,26,[36][37][38][39]. Computer simulations have been carried out in all these cases in order to determine the appropriate model dimensions.…”
Section: H Electrical Conductivity Dispersionmentioning
confidence: 99%
“…Although previous modeling studies had assessed the effect of tissue characteristics [4], insertion depth [6,9,11], blood flow rate [5,8,9,11], electrode size [11] and temperature sensor arrangement [11][12][13][14][15] on the dimensions of the thermal lesion, some even including a PI controller in the modeling methodology [5,6,10], none had considered our hypothesis.…”
Section: Discussionmentioning
confidence: 99%
“…Certain factors are known to have an impact on lesion size, e.g. tissue characteristics [4], electrode-tissue contact characteristics [5][6][7][8][9][10], electrode size [10], arrangement [11][12][13][14] and position [15,16] of the temperature sensor embedded in the electrode. Conversely, it is also known that varying these characteristics would affect the performance of the temperature control system.…”
Section: Introductionmentioning
confidence: 99%