Abstract
In the last few years, the Insight Segmentation and Registration Toolkit (ITK) has become one of the most frequently used open-source libraries for filtering, segmentation, and registration of medical image data. However, a major drawback is its lack of visualization and interaction functionality inside a dedicated development platform. We propose an automatic integration of ITK filters into the visual programming and rapid prototyping platform MeVisLab. Based on an XML description of a filter, an automatic code generation is utilized. Different image types and data dimensions are combined in a single MeVisLab module that can be dynamically handled at runtime. An example application using registration, segmentation, and visualization modules is created in order to show the capabilities of our integration concept.
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© 2005 Springer-Verlag Berlin Heidelberg
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Rexilius, J., Jomier, J., Spindler, W., Link, F., König, M., Peitgen, HO. (2005). Combining a Visual Programming and Rapid Prototyping Platform with ITK. In: Meinzer, HP., Handels, H., Horsch, A., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2005. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26431-0_94
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DOI: https://doi.org/10.1007/3-540-26431-0_94
Publisher Name: Springer, Berlin, Heidelberg
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