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Automated atlas-based segmentation for skull base surgical planning.

Neeraja KonuthulaFrancisco A PerezA Murat MagaWaleed M AbuzeidKris MoeBlake HannafordRandall A Bly
Published in: International journal of computer assisted radiology and surgery (2021)
Currently available open-source algorithms, such as the Elastix deformable algorithm, can be used for automated atlas-based segmentation of skull base structures with acceptable clinical accuracy and minimal corrections with the use of the proposed atlas. The first publicly available CT template and anterior skull base segmentation atlas being released (available at this link: http://hdl.handle.net/1773/46259 ) with this paper will allow for general use of automated atlas-based segmentation of the skull base.
Keyphrases
  • deep learning
  • single cell
  • convolutional neural network
  • machine learning
  • high throughput
  • computed tomography
  • magnetic resonance imaging
  • magnetic resonance
  • contrast enhanced
  • pet ct