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Integration of the Vascular Modeling Toolkit in 3D Slicer

Institution:	Medical Informatics University of Heidelberg, Germany
Publisher:	SPL
Publication Date:	Apr-2009
Citation:	Student Research Project 2009 Apr;
Appears in Collections:	SLICER, SPL
Sponsors:	Thomas ­Gessmann Foundation part of the Founder Federation for German Science
Generated Citation:	Hähn D. Integration of the Vascular Modeling Toolkit in 3D Slicer. Student Research Project 2009 Apr;
Downloaded:	906 times. [view map]
Paper:	Download, View online
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The extraction of vessels in two- and three-dimensional images is part of many clinical analysis tasks. Surgical and radiology procedures often involve the visualization and quantification of vessels in order to perform surgical planning or diagnostics. There is no single segmentation method that can extract vessels from every medical image modality, but different approaches and robust algorithms exist. Various published key algorithms are available within an open-source framework for image-based modeling of blood vessels, referred to as the Vascular Modeling Toolkit (VMTK). The library of VMTK was made available in 3D Slicer, an application providing a wide range of tools for medical image processing. This was realized using a hidden loadable module approach in order to provide a flexible way of distributing and including the library. To evaluate and verify the integration, a software module offering VMTK level set segmentation methods within 3D Slicer was created. With the successful connection of the two above mentioned software solutions, processing pipelines between VMTK code and other algorithms can be established. Several techniques for three dimensional reconstruction, geometric analysis, mesh generation and surface data analysis for image-based modeling of blood vessels are now accessible to the 3D Slicer developer. The reference implementation for accessing VMTK, as well as the created library module are available as open-source software.

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