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Implementation of graph-based interactive 3D vessel segmentation filter
|Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3183|
Submitted by Moti Freiman on 07-18-2010.
This paper describes an ITK implementation of a 3D vascular segmentation filter using a graph-based energy minimization algorithm. The method first computes the shortest path between two user provided points in the vessel and then performs a graph min-cut based segmentation of the vessel based on the intensity information coupled with the computed path as a spatial constraint. The shortest path computation is adapted from the algorithm in  to use a vesselness based weighting function. The min-cut algorithm uses the Boost graph library to calculate the minimal cut. Several examples of applications are provided, along with images of the resulting segmentations.
Automatic Testing Results by Insight-Journal Dashboard on Mon Jul 19 08:25:18 2010 for revision #1
expertise: 5 sensitivity: 5
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|Categories:||Mixture of densities, Optimization, Probability, Segmentation|
|Keywords:||Vessels segmentation, graph min-cut|
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