Fast Marching Minimal Path Extraction in ITK
Queensland University of Technology
| Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/1332 |
Published in The Insight Journal - 2008 January - June.
Submitted by Dan Mueller on 03-04-2008.
This paper describes the ITK implementation of a minimal path extraction framework based on Fast Marching arrival functions. The method requires the user to provide three inputs: 1. a meaningful speed function to generate an arrival function, 2. path information in the form of start, end, and way-points (which the path must pass near), and 3. an optimizer which steps along the resultant arrival function perpendicular to the Fast Marching front. A number of perspectives for choosing speed functions and optimizers are given, as well as examples using synthetic and real images.
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| Categories: | Feature extraction, Optimization, Path, Segmentation |
| Keywords: | ITK, vessel segmentation, centerline, minimal path, |
| Toolkit: | ITK, CMake |
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| Implementation of weighted Dijkstra’s shortest-path algorithm for n-D images | ||
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