Automated segmentation of MR images of brain tumors.

@article{Kaus2001AutomatedSO,
  title={Automated segmentation of MR images of brain tumors.},
  author={Michael R. Kaus and Simon K. Warfield and Arya Nabavi and Peter Mcl Black and Ferenc A. Jolesz and Ron Kikinis},
  journal={Radiology},
  year={2001},
  volume={218 2},
  pages={586-91}
}
An automated brain tumor segmentation method was developed and validated against manual segmentation with three-dimensional magnetic resonance images in 20 patients with meningiomas and low-grade gliomas. The automated method (operator time, 5-10 minutes) allowed rapid identification of brain and tumor tissue with an accuracy and reproducibility comparable to those of manual segmentation (operator time, 3-5 hours), making automated segmentation practical for low-grade gliomas and meningiomas. 
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Knowledge guided processing of magnetic resonance images of the brain

  • M. Clark
  • Thesis
  • 1998
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