[Method for segmenting medical image based on anatomical model].
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.
Yang
Xiao-qiang
XQ
Institute of Electromechanical, Northwestern Polytechnical University, Xi'an Shannxi, China. yxqtiger@163.com
Li
Bin
B
Wei
Sheng-min
SM
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