Multi-Dimensional Real-Time Visualization
Visual guidance and validation of results are core parts of the project. For fast diagnosis and planning, we implement high-performance algorithms for concurrently visualizing multiple datasets. Additionally, data such as simulation results contain multiple arrays of values, e.g. temperature or cell death probability.
Our research focuses on customizable representation of such data for analysis of the inter-dependence of patient-specific parameters. Understanding these connections allows for a reasoning process during retrospective analysis of cases, ultimately resulting in improved understanding of the bio-mechanical processes involved in RFA treatment. Further, prospective exploration of the parameter space of RFA becomes possible by visual analysis of simulation results. Due to the fast simulation process, comparing the results of different parameterizations and picking the optimal subset possibly leads to improved results of the procedure.
Our techniques encompass improved 2D visualization in connection with radiological viewers and novel 3D techniques for visual analysis of treatment parameters. The proposed methods provide novel 3D rendering schemes for overview analysis, and enhance the detailed validation process by reducing tedious manual measurements to visual analysis at-a-glance Figure 1, and introduce new techniques for multivariate analysis of the results of simulated treatment Figure 2.