RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors

被引:23
|
作者
Voglreiter, Philip [1 ]
Mariappan, Panchatcharam [2 ]
Pollari, Mika [3 ]
Flanagan, Ronan [2 ]
Sequeiros, Roberto Blanco [4 ]
Portugaller, Rupert Horst [5 ]
Futterer, Jurgen [6 ]
Schmalstieg, Dieter [1 ]
Kolesnik, Marina [7 ]
Moche, Michael [8 ]
机构
[1] Graz Univ Technol, Fac Comp Sci & Biomed Engn, A-8010 Graz, Austria
[2] NUMA Engn Serv, Dundalk 21222, Ireland
[3] Aalto Univ, Sch Sci & Technol, Dept Comp Sci, Espoo 02150, Finland
[4] Turku Univ Hosp, Med Imaging Ctr Southwest Finland, Turku 20521, Finland
[5] Med Univ Graz, Div Neuroradiol Vasc & Intervent Radiol, A-8010 Graz, Austria
[6] Radboud Univ Nijmegen, Med Ctr, NL-6525 Nijmegen, Netherlands
[7] Fraunhofer Gesell, Fraunhofer Inst Appl Informat Technol FIT, D-53754 St Augustin, Germany
[8] Univ Hosp Leipzig, Clin Diagnost & Intervent Radiol, D-04109 Leipzig, Germany
来源
SCIENTIFIC REPORTS | 2018年 / 8卷
关键词
PARAMETERS; PERFUSION; PROSTATE;
D O I
10.1038/s41598-017-18899-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:13
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