Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI

@article{McGrath2020ManualSV,
  title={Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI},
  author={Hari McGrath and Peichao Li and Reuben Dorent and Robert Bradford and Shakeel R. Saeed and Sotirios Bisdas and S{\'e}bastien Ourselin and Jonathan Shapey and Tom Vercauteren},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  year={2020},
  volume={15},
  pages={1445 - 1455}
}
Management of vestibular schwannoma (VS) is based on tumour size as observed on T1 MRI scans with contrast agent injection. The current clinical practice is to measure the diameter of the tumour in its largest dimension. It has been shown that volumetric measurement is more accurate and more reliable as a measure of VS size. The reference approach to achieve such volumetry is to manually segment the tumour, which is a time intensive task. We suggest that semi-automated segmentation may be a… 

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