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

Philip Voglreiter, Panchatcharam Mariappan, Mika Pollari, Ronan Flanagan, Roberto Blanco Sequeiros, Rupert Horst Portugaller, Jurgen Fütterer, Dieter Schmalstieg, Marina Kolesnik, Michael Moche

Research output: Contribution to journalArticle

Abstract

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.

LanguageEnglish
Article number787
JournalScientific reports
Volume8
Issue number1
DOIs
StatusPublished - 1 Dec 2018

Fingerprint

Workflow
Patient Simulation
Liver
Microcomputers
Uncertainty
Neoplasms
Costs and Cost Analysis
Patient-Specific Modeling

ASJC Scopus subject areas

  • General

Cite this

Voglreiter, P., Mariappan, P., Pollari, M., Flanagan, R., Blanco Sequeiros, R., Portugaller, R. H., ... Moche, M. (2018). RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors. Scientific reports, 8(1), [787]. DOI: 10.1038/s41598-017-18899-2

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.

In: Scientific reports, Vol. 8, No. 1, 787, 01.12.2018.

Research output: Contribution to journalArticle

Voglreiter, P, Mariappan, P, Pollari, M, Flanagan, R, Blanco Sequeiros, R, Portugaller, RH, Fütterer, J, Schmalstieg, D, Kolesnik, M & Moche, M 2018, 'RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors' Scientific reports, vol 8, no. 1, 787. DOI: 10.1038/s41598-017-18899-2
Voglreiter P, Mariappan P, Pollari M, Flanagan R, Blanco Sequeiros R, Portugaller RH et al. RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors. Scientific reports. 2018 Dec 1;8(1). 787. Available from, DOI: 10.1038/s41598-017-18899-2
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. In: Scientific reports. 2018 ; Vol. 8, No. 1.
@article{bbb62d14002f4750a32625c99fcef60d,
title = "RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors",
abstract = "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.",
author = "Philip Voglreiter and Panchatcharam Mariappan and Mika Pollari and Ronan Flanagan and {Blanco Sequeiros}, Roberto and Portugaller, {Rupert Horst} and Jurgen F{\"u}tterer and Dieter Schmalstieg and Marina Kolesnik and Michael Moche",
year = "2018",
month = "12",
day = "1",
doi = "10.1038/s41598-017-18899-2",
language = "English",
volume = "8",
journal = "Scientific reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",

}

TY - JOUR

T1 - RFA Guardian

T2 - Scientific reports

AU - Voglreiter,Philip

AU - Mariappan,Panchatcharam

AU - Pollari,Mika

AU - Flanagan,Ronan

AU - Blanco Sequeiros,Roberto

AU - Portugaller,Rupert Horst

AU - Fütterer,Jurgen

AU - Schmalstieg,Dieter

AU - Kolesnik,Marina

AU - Moche,Michael

PY - 2018/12/1

Y1 - 2018/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85040788289&partnerID=8YFLogxK

U2 - 10.1038/s41598-017-18899-2

DO - 10.1038/s41598-017-18899-2

M3 - Article

VL - 8

JO - Scientific reports

JF - Scientific reports

SN - 2045-2322

IS - 1

M1 - 787

ER -