Iterative multi-atlas-based multi-image segmentation with tree-based registration

@article{Jia2012IterativeMM,
  title={Iterative multi-atlas-based multi-image segmentation with tree-based registration},
  author={Hongjun Jia and Pew-Thian Yap and Dinggang Shen},
  journal={NeuroImage},
  year={2012},
  volume={59 1},
  pages={422-30}
}
In this paper, we present a multi-atlas-based framework for accurate, consistent and simultaneous segmentation of a group of target images. Multi-atlas-based segmentation algorithms consider concurrently complementary information from multiple atlases to produce optimal segmentation outcomes. However, the accuracy of these algorithms relies heavily on the precise alignment of the atlases with the target image. In particular, the commonly used pairwise registration may result in inaccurate… CONTINUE READING
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