Vessel-guided airway tree segmentation: A voxel classification approach

@article{Lo2010VesselguidedAT,
  title={Vessel-guided airway tree segmentation: A voxel classification approach},
  author={Pechin Lo and Jon Sporring and Haseem Ashraf and Jesper Johannes Holst Pedersen and Marleen de Bruijne},
  journal={Medical image analysis},
  year={2010},
  volume={14 4},
  pages={
          527-38
        }
}
This paper presents a method for airway tree segmentation that uses a combination of a trained airway appearance model, vessel and airway orientation information, and region growing. We propose a voxel classification approach for the appearance model, which uses a classifier that is trained to differentiate between airway and non-airway voxels. This is in contrast to previous works that use either intensity alone or hand crafted models of airway appearance. We show that the appearance model can… CONTINUE READING
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Key Quantitative Results

  • Our experiments showed that applying the region growing algorithm on the airway appearance model produces more complete airway segmentations, leading to on average 20% longer trees, and 50% less leakage. When combining the airway appearance model with vessel orientation similarity, the improvement is even more significant (p<0.01) than only using the airway appearance model, with on average 7% increase in the total length of branches extracted correctly.
  • When combining the airway appearance model with vessel orientation similarity, the improvement is even more significant ðp < 0:01Þ than only using the airway appearance model, with on average 7% increase in the total length of branches extracted correctly.

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