Comprehensive Pre-Clinical Evaluation of a Multi-physics Model of Liver Tumor Radiofrequency Ablation

Abstract : Purpose: We aim at developing a framework for the validation of a subject-specific multi-physics model of liver tumor radiofrequency ablation (RFA). Methods: The RFA computation becomes subject-specific after several levels of personalization: geometrical and biophysical (hemodynamics, heat transfer and an extended cellular necrosis model). We present a comprehensive experimental setup combining multi-modal, pre-and post-operative anatomical and functional images, as well as the interventional monitoring of intra-operative signals: the temperature and delivered power. Results: To exploit this data set, an efficient processing pipeline is introduced, which copes with image noise, variable resolution and anisotropy. The validation study includes twelve ablations from five healthy pig livers: a mean point-to-mesh error between predicted and actual ablation extent of 5.3 ± 3.6 mm is achieved. Conclusion: This enables an end-to-end pre-clinical validation framework that considers the available data set.
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International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2016, 〈10.1007/s11548-016-1517-x〉
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https://hal.inria.fr/hal-01423321
Contributeur : Chloe Audigier <>
Soumis le : jeudi 29 décembre 2016 - 12:08:46
Dernière modification le : jeudi 11 janvier 2018 - 16:56:53

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Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Tiziano Passerini, et al.. Comprehensive Pre-Clinical Evaluation of a Multi-physics Model of Liver Tumor Radiofrequency Ablation. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2016, 〈10.1007/s11548-016-1517-x〉. 〈hal-01423321〉

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