3D Soft Segmentation and Visualization of Medical Data Based on Nonlinear Diffusion and Distance Functions

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dc.contributor.authorPetersch, B.en_US
dc.contributor.authorSerrano-Serrano, O.en_US
dc.contributor.authorHönigmann, D.en_US
dc.contributor.editorBeatriz Sousa Santos and Thomas Ertl and Ken Joyen_US
dc.date.accessioned2014-01-31T07:05:26Z
dc.date.available2014-01-31T07:05:26Z
dc.date.issued2006en_US
dc.description.abstractVisualization of medical 3D data is a complex problem, since the raw data is often unsuitable for standard techniques like Direct Volume Rendering. Some kind of pre-treatment is necessary, usually segmentation of the structures of interest, which in turn is a difficult task. Most segmentation techniques yield a model without indicating any uncertainty. Visualization then can be misleading, especially if the original data is of poor contrast. We address this dilemma proposing a geometric approach based on distance on image manifolds and an alternative approach based on nonlinear diffusion. An effective algorithm solving Hamilton-Jacobi equations allows for computing a distance function for 2D and 3D manifolds at interactive rates. An efficient implementation of a semi-implicit operator splitting scheme accomplishes interactivity for the diffusion-based strategy. We establish a model which incorporates local information about its reliability and can be visualized with standard techniques. When interpreting the result of the segmentation in a diagnostic setting, this information is of utmost importance.en_US
dc.description.seriesinformationEUROVIS - Eurographics /IEEE VGTC Symposium on Visualizationen_US
dc.identifier.isbn3-905673-31-2en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttps://doi.org/10.2312/VisSym/EuroVis06/331-338en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.4.6 [IMAGE PROCESSING AND COMPUTER VISION]: Segmentation I.3.7 [COMPUTER GRAPHICS]: Three-Dimensional Graphics and Realism - Volume Rendering I.3.8 [COMPUTER GRAPHICS]: Applicationsen_US
dc.title3D Soft Segmentation and Visualization of Medical Data Based on Nonlinear Diffusion and Distance Functionsen_US
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EuroVis06: Joint Eurographics - IEEE VGTC Symposium on Visualization