Studying the Effect of Tissue Properties on Radiofrequency Ablation by Visual Simulation Ensemble Analysis

Simple item page
dc.contributor.authorHeimes, Karlen_US
dc.contributor.authorEvers, Marinaen_US
dc.contributor.authorGerrits, Timen_US
dc.contributor.authorGyawali, Sandeepen_US
dc.contributor.authorSinden, Daviden_US
dc.contributor.authorPreusser, Tobiasen_US
dc.contributor.authorLinsen, Larsen_US
dc.contributor.editorRenata G. Raidouen_US
dc.contributor.editorBjörn Sommeren_US
dc.contributor.editorTorsten W. Kuhlenen_US
dc.contributor.editorMichael Kroneen_US
dc.contributor.editorThomas Schultzen_US
dc.contributor.editorHsiang-Yun Wuen_US
dc.date.accessioned2022-09-19T11:46:29Z
dc.date.available2022-09-19T11:46:29Z
dc.date.issued2022
dc.description.abstractRadiofrequency ablation is a minimally invasive, needle-based medical treatment to ablate tumors by heating due to absorption of radiofrequency electromagnetic waves. To ensure the complete target volume is destroyed, radiofrequency ablation simulations are required for treatment planning. However, the choice of tissue properties used as parameters during simulation induce a high uncertainty, as the tissue properties are strongly patient-dependent. To capture this uncertainty, a simulation ensemble can be created. Understanding the dependency of the simulation outcome on the input parameters helps to create improved simulation ensembles by focusing on the main sources of uncertainty and, thus, reducing computation costs. We present an interactive visual analysis tool for radiofrequency ablation simulation ensembles to target this objective. Spatial 2D and 3D visualizations allow for the comparison of ablation results of individual simulation runs and for the quantification of differences. Simulation runs can be interactively selected based on a parallel coordinates visualization of the parameter space. A 3D parameter space visualization allows for the analysis of the ablation outcome when altering a selected tissue property for the three tissue types involved in the ablation process. We discuss our approach with domain experts working on the development of new simulation models and demonstrate the usefulness of our approach for analyzing the influence of different tissue properties on radiofrequency ablations.en_US
dc.description.sectionheadersUncertainties, Ensembles, and Comparisons
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20221187
dc.identifier.isbn978-3-03868-177-9
dc.identifier.issn2070-5786
dc.identifier.pages53-63
dc.identifier.pages11 pages
dc.identifier.urihttps://doi.org/10.2312/vcbm.20221187
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20221187
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleStudying the Effect of Tissue Properties on Radiofrequency Ablation by Visual Simulation Ensemble Analysisen_US
Files
Original bundle
Now showing 1 - 3 of 3
Thumbnail Image
Name:
053-063.pdf
Size:
6.38 MB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
paper1017_mm.mp4
Size:
37.21 MB
Format:
Unknown data format
Download
Thumbnail Image
Name:
suppmat.pdf
Size:
15.84 MB
Format:
Adobe Portable Document Format
Download
Collections
VCBM 2022: Eurographics Workshop on Visual Computing for Biology and Medicine