Visualization-Guided Evaluation of Simulated Minimally Invasive Cancer Treatment

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dc.contributor.authorVoglreiter, Philipen_US
dc.contributor.authorHofmann, Michaelen_US
dc.contributor.authorEbner, Christophen_US
dc.contributor.authorSequeiros, Roberto Blancoen_US
dc.contributor.authorPortugaller, Horst Ruperten_US
dc.contributor.authorFütterer, Jurgenen_US
dc.contributor.authorMoche, Michaelen_US
dc.contributor.authorSteinberger, Markusen_US
dc.contributor.authorSchmalstieg, Dieteren_US
dc.contributor.editorStefan Bruckner and Bernhard Preim and Anna Vilanova and Helwig Hauser and Anja Hennemuth and Arvid Lundervolden_US
dc.date.accessioned2016-09-07T05:37:59Z
dc.date.available2016-09-07T05:37:59Z
dc.date.issued2016
dc.description.abstractWe present a visualization application supporting interventional radiologists during analysis of simulated minimally invasive cancer treatment. The current clinical practice employs only rudimentary, manual measurement tools. Our system provides visual support throughout three evaluation stages, starting with determining prospective treatment success of the simulation parameterization. In case of insufficiencies, Stage 2 includes a simulation scalar field for determining a new configuration of the simulation. For complex cases, where Stage 2 does not lead to a decisive strategy, Stage 3 reinforces analysis of interdependencies of scalar fields via bivariate visualization. Our system is designed to be immediate applicable in medical practice. We analyze the design space of potentially useful visualization techniques and appraise their effectiveness in the context of our design goals. Furthermore, we present a user study, which reveals the disadvantages of manual analysis in the measurement stage of evaluation and highlight the demand for computer-support through our system.en_US
dc.description.sectionheadersSimulation and Visual Analysis in Medicine
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20161284
dc.identifier.isbn978-3-03868-010-9
dc.identifier.issn2070-5786
dc.identifier.pages163-172
dc.identifier.urihttps://doi.org/10.2312/vcbm.20161284
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20161284
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectLine and curve generation
dc.titleVisualization-Guided Evaluation of Simulated Minimally Invasive Cancer Treatmenten_US
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VCBM 16: Eurographics Workshop on Visual Computing for Biology and Medicine