Skull stripping/Bibliography: Difference between revisions

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*{{CZ:Ref:Hu 2008 Automatic and adaptive brain morphometry on MR images}}
*{{CZ:Ref:Smith 2002 Fast robust automated brain extraction}}
*{{CZ:Ref:Smith 2002 Fast robust automated brain extraction}}
*{{CZ:Ref:Lemieux 1999 Fast, accurate, and reproducible automatic segmentation of the brain in T1-weighted volume MRI data}}

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A list of key readings about Skull stripping.
Please sort and annotate in a user-friendly manner. For formatting, consider using automated reference wikification.
Provides a good overview of image segmentation techniques commonly applied to neuroimaging data in the framework of brain morphometry. Includes a section on brain extraction algorithms.
The theoretical basis for the popular FSL BET package for brain extraction from neuroimaging data, with the following basic processing steps:
  1. Binarization of the image based on a threshold estimated from the histogram
  2. Determination of centre of gravity of the binary image and of the radius of a sphere with a volume equivalent to the number of above-threshold voxels
  3. Initialization of a tesselated surface of a sphere with half that radius
  4. Surface growing until the enclosed volume reaches the size of the full sphere and is topologically correct
Describes a fully automated 3D brain extraction algorithm that works independently of scan orientation.