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Vis Inf  2018, Vol. 2 Issue (1): 26-36    DOI: 10.1016/j.visinf.2018.04.004
An Uncertainty-aware Workflow for Keyhole Surgery Planning using Hierarchical Image Semantics
Christina Gillmanna, Robin G.C. Maacka, Tobias Posta, Thomas Wischgollb, Hans Hagena
aUniversity of Kaiserslautern, Erwin-Schroedinger-Strasse 1, 67663 Kaiserslautern   bWright State University, 3640 Colonel Glenn Hwy, Dayton, OH
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关键词: 视觉分析工作流程不确定性可视化锁孔手术的规划    
Keyhole surgeries become increasingly important in clinical daily routine as they help minimizing the damage of a patient’s healthy tissue. The planning of keyhole surgeries is based on medical imaging and an important factor that influences the surgeries’ success. Due to the image reconstruction process, medical image data contains uncertainty that exacerbates the planning of a keyhole surgery. In this paper we present a visual workflow that helps clinicians to examine and compare different surgery paths as well as visualizing the patients’ affected tissue. The analysis is based on the concept of hierarchical image semantics, that segment the underlying image data with respect to the input images’ uncertainty and the users understanding of tissue composition. Users can define arbitrary surgery paths that they need to investigate further. The defined paths can be queried by a rating function to identify paths that fulfill user-defined properties. The workflow allows a visual inspection of the affected tissues and its substructures. Therefore, the workflow includes a linked view system indicating the three-dimensional location of selected surgery paths as well as how these paths affect the patients tissue. To show the effectiveness of the presented approach, we applied it to the planning of a keyhole surgery of a brain tumor removal and a kneecap surgery.

Key words: Visual Analytics Workflow    Uncertainty Visualization    Keyhole Surgery Planning
出版日期: 1900-01-01
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Christina Gillmann
Robin G.C. Maack
Tobias Post
Thomas Wischgoll
Hans Hagen


Christina Gillmann, Robin G.C. Maack, Tobias Post, Thomas Wischgoll, Hans Hagen. An Uncertainty-aware Workflow for Keyhole Surgery Planning using Hierarchical Image Semantics. Vis Inf, 2018, 2(1): 26-36.


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