title: [A new method for brain vein segmenting based on vessel enhancing filtering].
abstract: OBJECTIVE
  To segment veins from brain susceptibility weighted images with inhomogeneous background and veins, noises and complex structures.
  
  
  METHODS
  Based on vessel enhancing filtering, an adaptive threshold segmenting method and an adaptive threshold region growing method were proposed. The former method was used to exactly segment part of veins from the original images. Taking the veins segmented by the former method as seeds, the later method was used to extract nearly all the veins.
  
  
  RESULTS
  For simulation data with serious noises and interferences, correct rate above 90% was achieved. And for clinical data, the veins were extracted accurately and the structures of veins were displayed clearly.
  
  
  CONCLUSIONS
  The methods can extract veins from the brain susceptibility weighted images exactly and avoid false segmentation of the other structures effectively. The methods are very robust and stable.
authors.affiliation: Department of Biomedical Engineering, Shanghai Jiao Tong University School of Medicine, Shanghai 200025.
authors.forename: Xiu
authors.initials: X
authors.lastname: Xu
authors.forename: Caixian
authors.initials: C
authors.lastname: Zheng
authors.forename: Cheng
authors.initials: C
authors.lastname: Wang
authors.forename: Jiejun
authors.initials: J
authors.lastname: Cheng
mesh_terms: D003392:Cranial Sinuses / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement; D008279:Magnetic Resonance Imaging / Q000379:methods*