Vessel segmentation from abdominal magnetic resonance images: adaptive and reconstructive approach.

@article{Goceri2017VesselSF,
  title={Vessel segmentation from abdominal magnetic resonance images: adaptive and reconstructive approach.},
  author={Evgin Goceri and Zarine K. Shah and Metin Nafi Gurcan},
  journal={International journal for numerical methods in biomedical engineering},
  year={2017},
  volume={33 4}
}
The liver vessels, which have low signal and run next to brighter bile ducts, are difficult to segment from MR images. This study presents a fully automated and adaptive method to segment portal and hepatic veins on magnetic resonance images. In the proposed approach, segmentation of these vessels is achieved in four stages: (i) initial segmentation, (ii) refinement, (iii) reconstruction, and (iv) post-processing. In the initial segmentation stage, k-means clustering is used, the results of… CONTINUE READING

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