Comprehensive preclinical evaluation of a multi-physics model of liver tumor radiofrequency ablation
Chloé Audigier1,2, Tommaso Mansi3, Hervé Delingette4
1Université Côte d'Azur and Inria Sophia-Antipolis Méditerranée Asclepios team, Inria Sophia Antipolis, France. chloe.audigier@inria.fr.
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 multimodal, pre- and postoperative anatomical and functional images, as well as the interventional monitoring of intra-operative signals: the temperature and delivered power.
Results:
To exploit this dataset, 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 preclinical validation framework that considers the available dataset.
