Title:
Automatic-Branch-Decomposition-for-Tubular-Structu
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Description: Branches of tubular structures (vasculature, trachea, neuron, etc.) in medical images are critical for the topology of these
structures. In many applications, It is very helpful to be able to decompose tubular structures and identify every individual
branch. For example, quantification of geometric vascular features, registration of trachea movement due to respiration, tracing of
neuron path. However, manual decomposition can be tedious, time-consuming, and subject to operator bias. In this paper, we
propose a novel method to decompose tubular structures automatically and describe how to implement it in ITK framework. The
input is a 2D/3D binary image that can be obtained from any segmentation techniques, as well as the junctions, which can be
generated automatically from our previously contributed ITK class: itk::JunctionDetectionFilter. The output will be
branches with their labels and their connection. There are only tw
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File list (Check if you may need any files):
COWbrinfo.txt
branchdecomposition-2.zip
Neuronoutput.mha
Tracheajcinfo_edit.txt
Neuronbrinfo.txt
Tracheabrinfo.txt
COWoutput.mha
COWjcinfo_edit.txt
Neuronjcinfo_edit.txt
branchdecomposition.pdf
Tracheaoutput.mha
Tracheainput.mha
Neuroninput.mha
COWinput.mha
