Comparison of 10 brain tissue segmentation methods using revisited IBSR annotations.

@article{Valverde2015ComparisonO1,
  title={Comparison of 10 brain tissue segmentation methods using revisited IBSR annotations.},
  author={Sergi Valverde and Arnau Oliver and Mariano Cabezas and Eloy Roura and Xavier Llad{\'o}},
  journal={Journal of magnetic resonance imaging : JMRI},
  year={2015},
  volume={41 1},
  pages={
          93-101
        }
}
PURPOSE Ground-truth annotations from the well-known Internet Brain Segmentation Repository (IBSR) datasets consider Sulcal cerebrospinal fluid (SCSF) voxels as gray matter. This can lead to bias when evaluating the performance of tissue segmentation methods. In this work we compare the accuracy of 10 brain tissue segmentation methods analyzing the effects of SCSF ground-truth voxels on accuracy estimations. MATERIALS AND METHODS The set of methods is composed by FAST, SPM5, SPM8, GAMIXTURE… CONTINUE READING

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