RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors
Dieter Schmalstieg; Jurgen Fütterer; Panchatcharam Mariappan; Roberto Blanco Sequeiros; Philip Voglreiter; Rupert Horst Portugaller; Marina Kolesnik; Ronan Flanagan; Michael Moche; Mika Pollari
RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors
Dieter Schmalstieg
Jurgen Fütterer
Panchatcharam Mariappan
Roberto Blanco Sequeiros
Philip Voglreiter
Rupert Horst Portugaller
Marina Kolesnik
Ronan Flanagan
Michael Moche
Mika Pollari
NATURE PUBLISHING GROUP
Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2021042718836
https://urn.fi/URN:NBN:fi-fe2021042718836
Tiivistelmä
The RFA Guardian is a comprehensive application for high-performance patient-specific simulation of radiofrequency ablation of liver tumors. We address a wide range of usage scenarios. These include pre-interventional planning, sampling of the parameter space for uncertainty estimation, treatment evaluation and, in the worst case, failure analysis. The RFA Guardian is the first of its kind that exhibits sufficient performance for simulating treatment outcomes during the intervention. We achieve this by combining a large number of high-performance image processing, biomechanical simulation and visualization techniques into a generalized technical workflow. Further, we wrap the feature set into a single, integrated application, which exploits all available resources of standard consumer hardware, including massively parallel computing on graphics processing units. This allows us to predict or reproduce treatment outcomes on a single personal computer with high computational performance and high accuracy. The resulting low demand for infrastructure enables easy and cost-efficient integration into the clinical routine. We present a number of evaluation cases from the clinical practice where users performed the whole technical workflow from patient-specific modeling to final validation and highlight the opportunities arising from our fast, accurate prediction techniques.
Kokoelmat
- Rinnakkaistallenteet [19207]