
Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/1332 |







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The author provide a set of classes to find minimal paths in images. A set of optimization methods are provided.
Hypothesis:Minimal path can be extracted between two points using a speed image by means of the Fast marching fronts.
Evidence:Code and tests are provided.
Open Science:Code and data is provided. I've been able to use the method on my own data using my own speed functions.
Reproducibility:I was able to run the code without problems.
Quality of the data :The method is usable thanks to the multiple examples an tests provided.
Interest:In medical imaging, this method is very useful in the context of centerline generation. The author states concerns about possible patent violations if this code is used to generate centerlines.
Free comment :A good contribution to ITK. Applicable to many fields and applications. Centerline generation being the most useful in medical imaging, must require caution as may be under a patent.
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Categories: | Feature extraction, Optimization, Path, Segmentation |
Keywords: | ITK, vessel segmentation, centerline, minimal path |
Toolkits: | ITK, CMake |
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![]() by Vercauteren T., Pennec X., Perchant A., Ayache N.
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![]() by Tustison N., Gee J.
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This article has been merged into ITK as a Remote module in 4.8.0 as the "MinimalPathExtraction" module.