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Principles of Visualization in Radiation Oncology
Matthias Schlachter1, Bernhard Preim2,3, Katja Bühler4
1VRVis Research Center, Vienna, Austria, matthias.schlachter@vrvis.at.
Oncology
|January 16, 2020
Summary
Medical visualization enhances radiation oncology workflows using computer graphics. Advanced techniques like visual analytics improve diagnostic and planning processes with complex patient data.
Area of Science:
- Medical visualization
- Computer graphics
- Radiation oncology
Background:
- Medical visualization uses computer graphics for interactive representations of medical data.
- It accelerates diagnostic, planning, and quality assurance in fields like radiation oncology.
Purpose of the Study:
- To discuss visualization principles in radiation oncology.
- To present main visualization strategies and interaction topics.
Main Methods:
- Slice-based representations
- Surface and volume rendering
- Image fusion, multivolume, and hybrid rendering
Main Results:
- Slice-based and volume visualization are key in radiation oncology.
- Advanced rendering techniques enhance perception.
- Visual analytics are valuable for complex data, cohort, and uncertainty visualization.
Conclusions:
- Evolving data complexity necessitates advanced visualization and visual analytics.
- Interactive visual analytics integrate expert cognition for complex exploratory processes.
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