Visualization-Guided Evaluation of Simulated Minimally Invasive Cancer Treatment

Abstract
We 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.
Description

        
@inproceedings{
10.2312:vcbm.20161284
, booktitle = {
Eurographics Workshop on Visual Computing for Biology and Medicine
}, editor = {
Stefan Bruckner and Bernhard Preim and Anna Vilanova and Helwig Hauser and Anja Hennemuth and Arvid Lundervold
}, title = {{
Visualization-Guided Evaluation of Simulated Minimally Invasive Cancer Treatment
}}, author = {
Voglreiter, Philip
and
Hofmann, Michael
and
Ebner, Christoph
and
Sequeiros, Roberto Blanco
and
Portugaller, Horst Rupert
and
Fütterer, Jurgen
and
Moche, Michael
and
Steinberger, Markus
and
Schmalstieg, Dieter
}, year = {
2016
}, publisher = {
The Eurographics Association
}, ISSN = {
2070-5786
}, ISBN = {
978-3-03868-010-9
}, DOI = {
10.2312/vcbm.20161284
} }
Citation