Seeded ND medical image segmentation by cellular automaton on GPU

@article{Kauffmann2009SeededNM,
  title={Seeded ND medical image segmentation by cellular automaton on GPU},
  author={Claude Kauffmann and Nicolas Pich{\'e}},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  year={2009},
  volume={5},
  pages={251-262}
}
We present a GPU-based framework to perform organ segmentation in N-dimensional (ND) medical image datasets by computation of weighted distances using the Ford–Bellman algorithm (FBA). Our GPU implementation of FBA gives an alternative and optimized solution to other graph-based segmentation techniques. Given a number of K labelled-seeds, the segmentation algorithm evolves and segments the ND image in K objects. Each region is guaranteed to be connected to seeds with the same label. The method… CONTINUE READING
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