Prostate segmentation in echographic images: A variational approach using deformable super-ellipse and rayleigh distribution

@article{Saroul2008ProstateSI,
  title={Prostate segmentation in echographic images: A variational approach using deformable super-ellipse and rayleigh distribution},
  author={Laurent Saroul and Olivier Bernard and Didier Vray and Denis Friboulet},
  journal={2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
  year={2008},
  pages={129-132}
}
We present a simple, robust and computationally efficient method for the semi-automatic segmentation of the prostate in TRUS (Transrectal Ultrasound) image. The method relies on a variational formulation based on a deformable super- ellipse and a region energy based on the assumption of a Rayleigh distribution. Instead of using the classical level-set approach, we directly insert the implicit representation of a deformable super-ellipse into the energy to minimize. This yields a super-ellipse… CONTINUE READING

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