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Publication Detail
Fully automated grey and white matter segmentation of the cervical cord in vivo
  • Publication Type:
    Conference
  • Authors:
    Prados Carrasco F, Cardoso MJ, Yiannakas MC, Hoy LR, Tebaldi E, Kearney H, Liechti MD, Ciccarelli O, Wheeler-Kingshott CAM, Ourselin S
  • Name of conference:
    International Society for Magnetic Resonance in Medicine (ISMRM) 24th Scientific Meeting and Exhibition
  • Conference place:
    Singapore
  • Conference start date:
    07/05/2016
  • Conference finish date:
    13/05/2016
Abstract
We propose and validate a new fully automated spinal cord (SC) segmentation technique that incorporates two different multi-atlas segmentation propagation and fusion techniques: Optimized PatchMatch Label fusion (OPAL) and Similarity and Truth Estimation for Propagated Segmentations (STEPS). We collaboratively join the advantages of each method to obtain the most accurate SC segmentation. The new method reaches the inter-rater variability, providing automatic segmentations equivalents to inter-rater segmentations in terms of DSC 0.97 for whole cord for any subject.
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