Optimizing the Level Set Algorithm for Detecting Object Edges in MR and CT Images

@article{Heydarian2009OptimizingTL,
  title={Optimizing the Level Set Algorithm for Detecting Object Edges in MR and CT Images},
  author={Mohammadreza Heydarian and M. D. Noseworthy and M. V. Kamath and Colm E Boylan and W. F. Skip Poehlman},
  journal={IEEE Transactions on Nuclear Science},
  year={2009},
  volume={56},
  pages={156-166}
}
Specifying the boundary of tissues or an organ is one of the most frequently required tasks for a radiologist. It is a first step for further processing, such as comparing two serial images in time, volume measurements. In the present work, we use genetic algorithms (GA) and where necessary apply a ldquodynamic genetic algorithmrdquo (dGA) procedure, which (we believe) is a unique application, to assess different values for finding an optimal set of parameters that characterize the level set… CONTINUE READING

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