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RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors
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 ev...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5768804/ https://www.ncbi.nlm.nih.gov/pubmed/29335429 http://dx.doi.org/10.1038/s41598-017-18899-2 |
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author | Voglreiter, Philip Mariappan, Panchatcharam Pollari, Mika Flanagan, Ronan Blanco Sequeiros, Roberto Portugaller, Rupert Horst Fütterer, Jurgen Schmalstieg, Dieter Kolesnik, Marina Moche, Michael |
author_facet | Voglreiter, Philip Mariappan, Panchatcharam Pollari, Mika Flanagan, Ronan Blanco Sequeiros, Roberto Portugaller, Rupert Horst Fütterer, Jurgen Schmalstieg, Dieter Kolesnik, Marina Moche, Michael |
author_sort | Voglreiter, Philip |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5768804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57688042018-01-25 RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors Voglreiter, Philip Mariappan, Panchatcharam Pollari, Mika Flanagan, Ronan Blanco Sequeiros, Roberto Portugaller, Rupert Horst Fütterer, Jurgen Schmalstieg, Dieter Kolesnik, Marina Moche, Michael Sci Rep Article 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. Nature Publishing Group UK 2018-01-15 /pmc/articles/PMC5768804/ /pubmed/29335429 http://dx.doi.org/10.1038/s41598-017-18899-2 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Voglreiter, Philip Mariappan, Panchatcharam Pollari, Mika Flanagan, Ronan Blanco Sequeiros, Roberto Portugaller, Rupert Horst Fütterer, Jurgen Schmalstieg, Dieter Kolesnik, Marina Moche, Michael RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors |
title | RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors |
title_full | RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors |
title_fullStr | RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors |
title_full_unstemmed | RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors |
title_short | RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors |
title_sort | rfa guardian: comprehensive simulation of radiofrequency ablation treatment of liver tumors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5768804/ https://www.ncbi.nlm.nih.gov/pubmed/29335429 http://dx.doi.org/10.1038/s41598-017-18899-2 |
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