Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis

@article{Yiannakas2016FullyAS,
  title={Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis},
  author={Marios C. Yiannakas and Ahmed M. Mustafa and Benjamin De Leener and Hugh Kearney and C Tur and Daniel R. Altmann and Floriana De Angelis and Domenico Plantone and Olga Ciccarelli and David H. Miller and Julien Cohen-Adad and Claudia A.M. Gandini Wheeler-Kingshott},
  journal={NeuroImage: Clinical},
  year={2016},
  volume={10},
  pages={71-77}
}
Spinal cord (SC) atrophy, i.e. a reduction in the SC cross-sectional area (CSA) over time, can be measured by means of image segmentation using magnetic resonance imaging (MRI). However, segmentation methods have been limited by factors relating to reproducibility or sensitivity to change. The purpose of this study was to evaluate a fully automated SC segmentation method (PropSeg), and compare this to a semi-automated active surface (AS) method, in healthy controls (HC) and people with multiple… CONTINUE READING
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