Difference between revisions of "User:Haehn"

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! Info ||  
 
! Info ||  
 
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|'''Daniel H&auml;hn'''<br>Student of Medical Informatics <br>University of Heidelberg, Germany<br>E-Mail: [mailto:haehn@bwh.harvard.edu haehn@bwh.harvard.edu] or [mailto:haehn@urz.uni-heidelberg.de haehn@urz.uni-heidelberg.de]<br>Expected Graduation: Summer 2009 || <center>[[Image:haehn.jpg]]</center>
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|'''Daniel H&auml;hn'''<br>Student of Medical Informatics <br>University of Heidelberg, Germany<br>E-Mail: [mailto:haehn@bwh.harvard.edu haehn@bwh.harvard.edu] or [mailto:haehn@urz.uni-heidelberg.de haehn@urz.uni-heidelberg.de]<br>Expected Graduation: Spring 2010 || <center>[[Image:haehn.jpg]]</center>
 
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'''Project goal:''' Integration of VMTK in 3D Slicer<br>
 
'''Project goal:''' Integration of VMTK in 3D Slicer<br>
 
'''Kick-Off:''' 10/15/2008
 
'''Kick-Off:''' 10/15/2008
'''Final Milestone 1:''' 03/31/2009
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'''Milestone 1:''' 03/31/2009
  
 
The extraction of vessels in two­ and three­dimensional images is part of many clinical analysis tasks.  
 
The extraction of vessels in two­ and three­dimensional images is part of many clinical analysis tasks.  

Revision as of 10:30, 25 November 2009

Daniel Haehn's Page

Info
Daniel Hähn
Student of Medical Informatics
University of Heidelberg, Germany
E-Mail: haehn@bwh.harvard.edu or haehn@urz.uni-heidelberg.de
Expected Graduation: Spring 2010
Haehn.jpg

VMTK in 3D Slicer

Project goal: Integration of VMTK in 3D Slicer
Kick-Off: 10/15/2008 Milestone 1: 03/31/2009

The extraction of vessels in two­ and three­dimensional 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 open­source framework for image­based 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 image­based 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 open­source software.

The NITRC project page including a SVN repository with the latest code: http://www.nitrc.org/projects/slicervmtklvlst/

More recent news on this project:
http://www.na-mic.org/Wiki/index.php/2009_Winter_Project_Week_Slicer_VMTK
http://www.na-mic.org/Wiki/index.php/Summer2009:The_Vascular_Modeling_Toolkit_in_3D_Slicer

VMTK is the Vascular Modeling Toolkit (http://vmtk.org) and offers interesting techniques for segmentation of vessels or tube-shapes.

This work is done in conjunction with Luca Antiga (Medical Imaging Unit, Bioengineering Department, Mario Negri Institute, Bergamo, Italy).