Evaluating accuracy of striatal, pallidal, and thalamic segmentation methods: Comparing automated approaches to manual delineation

@article{Makowski2018EvaluatingAO,
  title={Evaluating accuracy of striatal, pallidal, and thalamic segmentation methods: Comparing automated approaches to manual delineation},
  author={Carolina Makowski and Sophie B{\'e}land and Penelope Kostopoulos and Nikhil Bhagwat and Gabriel A. Devenyi and Ashok K. Malla and Ridha Joober and Martin Lepage and M. Mallar Chakravarty},
  journal={NeuroImage},
  year={2018},
  volume={170},
  pages={182-198}
}
Accurate automated quantification of subcortical structures is a greatly pursued endeavour in neuroimaging. In an effort to establish the validity and reliability of these methods in defining the striatum, globus pallidus, and thalamus, we investigated differences in volumetry between manual delineation and automated segmentations derived by widely used FreeSurfer and FSL packages, and a more recent segmentation method, the MAGeT-Brain algorithm. In a first set of experiments, the basal ganglia… CONTINUE READING
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