Automatic segmentation of pulmonary blood vessels and nodules based on local intensity structure analysis and surface propagation in 3D chest CT images

@article{Chen2011AutomaticSO,
  title={Automatic segmentation of pulmonary blood vessels and nodules based on local intensity structure analysis and surface propagation in 3D chest CT images},
  author={Bin Chen and Takayuki Kitasaka and Hirotoshi Honma and Hirotsugu Takabatake and Masaki Mori and Hiroshi Natori and Kensaku Mori},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  year={2011},
  volume={7},
  pages={465-482}
}
Pulmonary nodules may indicate the early stage of lung cancer, and the progress of lung cancer causes associated changes in the shape and number of pulmonary blood vessels. The automatic segmentation of pulmonary nodules and blood vessels is desirable for chest computer-aided diagnosis (CAD) systems. Since pulmonary nodules and blood vessels are often attached to each other, conventional nodule detection methods usually produce many false positives (FPs) in the blood vessel regions, and blood… CONTINUE READING

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Pulmonary blood vessel bifurcation enhancement filter with application to reduce false positive of nodule detection in 3D chest CT data

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