Automatic model-guided segmentation of the human brain ventricular system from CT images.

@article{Liu2010AutomaticMS,
  title={Automatic model-guided segmentation of the human brain ventricular system from CT images.},
  author={Jimin Liu and Su Huang and Volkau Ihar and Wojciech Ambrosius and Looi Chow Lee and Wieslaw Lucjan Nowinski},
  journal={Academic radiology},
  year={2010},
  volume={17 6},
  pages={718-26}
}
RATIONALE AND OBJECTIVES Accurate segmentation of the brain ventricular system on computed tomographic (CT) imaging is useful in neurodiagnosis and neurosurgery. Manual segmentation is time consuming, usually not reproducible, and subjective. Because of image noise, low contrast between soft tissues, large interslice distance, large shape, and size variations of the ventricular system, no automatic method is presently available. The authors propose a model-guided method for the automated… CONTINUE READING
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