Parameter Estimation for Personalization of Liver Tumor Radiofrequency Ablation

Abstract

Mathematical modeling has the potential to assist radiofrequency ablation (RFA) of tumors as it enables prediction of the extent of ablation. However, the accuracy of the simulation is challenged by the material properties since they are patient-specific, temperature and space dependent. In this paper, we present a framework for patientspecific… (More)
DOI: 10.1007/978-3-319-13692-9_1

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Cite this paper

@inproceedings{Audigier2014ParameterEF, title={Parameter Estimation for Personalization of Liver Tumor Radiofrequency Ablation}, author={Chlo{\'e} Audigier and Tommaso Mansi and Herv{\'e} Delingette and Saikiran Rapaka and Viorel Mihalef and Daniel Carnegie and Emad Boctor and Michael A. Choti and Ali Kamen and Dorin Comaniciu and Nicholas Ayache}, booktitle={ABDI@MICCAI}, year={2014} }