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• W2983844816 abstract "We compare a surface-driven, model-based deformation correction method to a clinically relevant rigid registration approach within the application of image-guided microwave ablation for the purpose of demonstrating improved localization and antenna placement in a deformable hepatic phantom. Furthermore, we present preliminary computational modeling of microwave ablation integrated within the navigational environment to lay the groundwork for a more comprehensive procedural planning and guidance framework. To achieve this, we employ a simple, retrospective model of microwave ablation after registration, which allows a preliminary evaluation of the combined therapeutic and navigational framework. When driving registrations with full organ surface data (i.e., as could be available in a percutaneous procedure suite), the deformation correction method improved average ablation antenna registration error by 58.9% compared to rigid registration (i.e., 2.5±1.1 mm , 5.6±2.3 mm of average target error for corrected and rigid registration, respectively) and on average improved volumetric overlap between the modeled and ground-truth ablation zones from 67.0±11.8% to 85.6±5.0% for rigid and corrected, respectively. Furthermore, when using sparse-surface data (i.e., as is available in an open surgical procedure), the deformation correction improved registration error by 38.3% and volumetric overlap from 64.8±12.4% to 77.1±8.0% for rigid and corrected, respectively. We demonstrate, in an initial phantom experiment, enhanced navigation in image-guided hepatic ablation procedures and identify a clear multiphysics pathway toward a more comprehensive thermal dose planning and deformation-corrected guidance framework." @default.
• W2983844816 created "2019-11-22" @default.
• W2983844816 date "2019-05-20" @default.
• W2983844816 modified "2023-10-18" @default.
• W2983844816 title "Multiphysics modeling toward enhanced guidance in hepatic microwave ablation: a preliminary framework" @default.
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• W2983844816 doi "https://doi.org/10.1117/1.jmi.6.2.025007" @default.
• W2983844816 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6527144" @default.
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• W2983844816 hasPublicationYear "2019" @default.
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