Importance-Driven Structure Categorization for 3D Surgery Planning

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dc.contributor.authorBaer, Alexandraen_US
dc.contributor.authorKellermann, Kerstinen_US
dc.contributor.authorPreim, Bernharden_US
dc.contributor.editorDirk Bartz and Charl Botha and Joachim Hornegger and Raghu Machiraju and Alexander Wiebel and Bernhard Preimen_US
dc.date.accessioned2014-01-29T17:09:05Z
dc.date.available2014-01-29T17:09:05Z
dc.date.issued2010en_US
dc.description.abstractWe 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.en_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US
dc.identifier.isbn978-3-905674-28-6en_US
dc.identifier.issn2070-5786en_US
dc.identifier.urihttps://doi.org/10.2312/VCBM/VCBM10/099-107en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): Computer Graphics [I.3.0]: General- Computer Graphics [I.3.6]: Methodology and Techniques - Computer Graphics [I.3.7]: Three-Dimensional Graphics and Realism.en_US
dc.titleImportance-Driven Structure Categorization for 3D Surgery Planningen_US
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