title: [Method for segmenting medical image based on anatomical model].
abstract: OBJECTIVE
  To improve the automatization and reliability of medical image segmentation.
  
  
  METHODS
  An anatomical model was built and used to guide the low-level segmentation process. The system architecture was made up of an anatomical model, image processing routines and an inference engine, the interaction of which are governed by a blackboard.
  
  
  RESULTS
  The result of application of the segmentation for chest CT image was satisfactory and needs less operator intensive.
  
  
  CONCLUSIONS
  This method improves automatization and reliability of the medical image segmentation. Because of the good expansibility, it may serve as a template for knowledge-based processing of medical image.
authors.affiliation: Institute of Electromechanical, Northwestern Polytechnical University, Xi'an Shannxi, China. yxqtiger@163.com
authors.forename: Xiao-qiang
authors.initials: XQ
authors.lastname: Yang
authors.forename: Bin
authors.initials: B
authors.lastname: Li
authors.forename: Sheng-min
authors.initials: SM
authors.lastname: Wei
mesh_terms: D003198:Computer Simulation; D005240:Feasibility Studies; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008168:Lung / Q000000981:diagnostic imaging; D008953:Models, Anatomic; D019047:Phantoms, Imaging; D013902:Radiography, Thoracic; D014057:Tomography, X-Ray Computed