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Modeling of Radiofrequency Ablation Lesions for Image-Guided Arrhythmia Therapy: A Preliminary ex vivo Demonstration

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Book cover Augmented Environments for Computer-Assisted Interventions (AE-CAI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7815))

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Abstract

In spite of significant efforts to enhance guidance for catheter navigation, very little has been done to consider the changes that occur in the tissue during ablation as a means to provide feedback on therapy delivery. We propose a technique to visualize the lesion progression and monitor the RF energy delivery by means of a real-time thermal ablation model. The model is based on physical and physiological tissue parameters, and uses heat transfer principles to estimate temperature distribution and geometry of the generated lesion in real time. Validation of the model against experimental measurements recorded in ex vivo muscle samples ablated under clinically relevant conditions demonstrated good agreement between the predicted and measured parameters. We believe this technique will enable the generation of real-time thermal maps that can be used to guide the placement of successive lesions to ensure continuous and effective suppression of the arrhythmic pathway.

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Linte, C.A., Camp, J.J., Holmes, D.R., Rettmann, M.E., Robb, R.A. (2013). Modeling of Radiofrequency Ablation Lesions for Image-Guided Arrhythmia Therapy: A Preliminary ex vivo Demonstration. In: Linte, C.A., Chen, E.C.S., Berger, MO., Moore, J.T., Holmes, D.R. (eds) Augmented Environments for Computer-Assisted Interventions. AE-CAI 2012. Lecture Notes in Computer Science, vol 7815. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38085-3_4

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  • DOI: https://doi.org/10.1007/978-3-642-38085-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38084-6

  • Online ISBN: 978-3-642-38085-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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