Importance-driven structure categorization for 3D surgery planning

Authors:
A. Baer;K. Kellermann;B. Preim
Affiliations:
Department of Simulation and Graphics, University of Magdeburg, Germany;Department of Simulation and Graphics, University of Magdeburg, Germany;Department of Simulation and Graphics, University of Magdeburg, Germany
Venue:
EG VCBM'10 Proceedings of the 2nd Eurographics conference on Visual Computing for Biology and Medicine
Year:
2010

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Abstract

We present an importance-driven categorization approach to automatically gather all currently required structures for the surgery planning process. Therefore, we analyzed common demands for tumor intervention planning and integrated domain knowledge to enable a determination of the relevant structures for various surgical questions. The categorization of structures in focus, focus-relevant and context is defined and initiated by the question. Our method uses the structure's specific meta data and geometric information to determine an importance value for each structure automatically. This importance value encodes the structure's priority for the current question and defines the structure's category. Furthermore, this value can be used to define a structure-specific visual style to generate expressive 3D surgery planning visualizations.