3D segmentation of the liver using free-form deformation based on boosting and deformation gradients

@article{Zhang20093DSO,
  title={3D segmentation of the liver using free-form deformation based on boosting and deformation gradients},
  author={Hong Zhang and Lin Yang and David J. Foran and John L. Nosher and Peter J. Yim},
  journal={2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
  year={2009},
  pages={494-497}
}
This paper presents a novel automatic 3D hybrid segmentation approach based on free-form deformation. The algorithms incorporate boosting and deformation gradients to achieve reliable liver segmentation of Computed Tomography (CT) scans. A free-form deformable model is deformed under the forces originating from boosting and deformation gradients. The basic idea of the scheme is to combine information from intensity and shape prior knowledge to calculate desired displacements to the liver… CONTINUE READING

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